1. Most of them have to do with pattern recognition.

2. Pattern Recognition Many different types of networks are under consideration for various research and application projects.

3. Taken to its natural conclusion, the stages of pattern recognition and lexical checking could become interactive processes.

4. The world of neural networks and pattern recognition is likely to act as a major guide.

5. In other words information is collected at the pattern recognition stage, and all further levels select from this.

6. It is well suited to speech and pattern recognition applications, and makes neural networks an add-on technology to existing processing.

7. As the character candidates are received from the pattern recognition process the combinations of characters are checked for validity in the lexicon.

8. The pattern recognition technique enables the computer to cope with a certain amount of operator error, minor misspellings make no difference.

9. Intelligent processes, such as: pattern recognition, image reconstruction, learning, reasoning by deduction, expert problem solving.

10. Simply improving the performance of the pattern recognition module will not produce a recognition performance comparable to that of a human.

11. Most existing recognition systems concentrate on the pattern recognition process, and have not utilised the substantial amounts of available context.

12. Match-Finder is a new software package for chromatographic pattern recognition, or fingerprinting, from Perkins Elmer.

13. The strategy uses complex pattern recognition.

14. Syntax analysis plays an important role in pattern recognition.

14. is a online sentence dictionary, on which you can find nice sentences for a large number of words.

15. Fingerprint Pattern Recognition Using Distance Method Algorithm.

16. Clastic facies pattern recognition is somewhat systematic.

17. On – Line Pattern Recognition System?

18. Handwritten numeral recognition belongs to the field of pattern recognition, which is a hot field for a large number of researchers and also is a critical step in entry of information.

19. Multivariate analysis has many uses in pattern recognition . Take the face recognition as example.

20. The digital image processing and pattern recognition technology are feasible to overcome the coke monitor problem.

21. The fuzzy pattern recognition technique is then applied to classifying TIG weld quality.

22. Kunihiko Fukushima developed the Neocognitron, a neural net-work model for visual pattern recognition.

23. The statistical approach reduces the problem facing the syntax analyser from a logic-based task to one of pattern recognition. 2.2.4.1.

24. Firstly there is the whole word approach, whereby shape and pattern recognition procedures attempt to match directly with complete words.

25. The following discussion investigates improvements which could be made to augment the pattern recognition information.

26. The two are aiming to develop three demonstrators for advanced pattern recognition systems that could be used for data analysis.

27. This simplifies the recognition problem since overlapping points may be simply discriminated between and the problem becomes one of pattern recognition.

28. Systems for handwriting recognition Script recognition systems are traditionally most heavily concerned with the problem of pattern recognition.

29. The expounded basic step of BP network in bearing fault diagnosis includes BP network and state assignment, network training, pattern recognition and instant analysis of diagnosis.

30. This paper introduces how to recognize and locate the bonding pad from a silicon chip image with the method of Digital Image Processing and Pattern Recognition.

31. Using the artificial intelligence and syntactic pattern recognition for the interpretation of geophysical data is a new technique developed recently, but there are not many results obtained from it.

32. A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.

33. Non - tensor multivariate wavelets was wildly used in pattern recognition and texture analysis and edge detection.

34. Based on the model a grammatical pattern is constructed, and an algorithm for pattern recognition of wave peaks is designed by using mean square error norm.

35. With the application of digital image processing technology and pattern recognition technology in the domain of medicine, it is possible to found a pleural effusions computer-aided diagnosis system.

36. Neural network has been nicely applied in pattern recognition and hydrocarbon prediction in applied geophysics.

37. E-nose system is a kind of instrument which is composed of selective chemical sensors array and appropriate pattern recognition system to detect and classify simple or complex odorant.

38. Overall infant and childhood is a natural pattern recognition ability and the highest memory capacity, I also learn that language, learn to identify the critical period of Chinese characters.

39. This paper raised a method of pattern recognition, it can be used to the continuous speech recognition with reference, text understanding and data file analysis.

40. Traffic pattern recognition method of elevator group control systems is presented. The method consists of two steps, in which fuzzy neural networks are employed.

41. It is, I think, a form of pattern creation or pattern recognition that fires the synapses of the brain, and hence might be more a chemistry of the nervous system than the endocrine.

42. But a simple understanding of patterns can be a stepping stone to strategy development as many of the most successful trading strategies involve more complex pattern recognition methodologies.

43. Based on the volume holographic storage, a novel and easy method is proposed to realize rotation and shift invariance in pattern recognition system.

44. The critical threshold in the model was calibrated using the linear discriminant function in the pattern recognition.

45. Experimental results conform that this algorithm, which can be used in economic analysis, pattern recognition, document classification and so on,[] is effective.

46. In our discussion, classification is a significant component of the pattern recognition system, but unsupervised learning may also play a role there.

47. Cosine transform is widely adopted in image, video compression and pattern recognition.

48. Star pattern recognition is the key technic of satellite position confirmation from start sensor.

49. In this article, it has been pointed out that the pattern recognition is the representation transformation in pattern space.

50. The structure of the FNN is given in the paper, which is the basic theory for the traffic pattern recognition and the elevator assignment.

51. This paper puts forward non-contact surveillance and measure that uses video image processing, pattern recognition, optimum threshold value and theory of geometric similarity.

52. Results The numerical example shows that fuzzy relative entropy method and maximum minimum closeness method have the same results for fuzzy pattern recognition.

53. Her current research interests include biometrics, pattern recognition, machine learning and image processing.

54. There is a computer pattern recognition program designed in the paper, by which the inorganic chlorides in figure one can be recognized to be so- lid or not.

55. There's another type of intelligence that comes not from rapid-fire pattern recognition but from slowly ingesting and retaining a lifetime's worth of facts.

56. The problem of radar - ESM correlation can be considered as a pattern recognition problem.

57. Classification techniques for vectors represent one of the best studied subjects in pattern recognition.

58. Bayesian decision theory is a basic method of Statistical Pattern Recognition.

59. Upon termination of the algorithm, the correct weight must be found for a linearly separable multiclass pattern recognition.

60. Dynamically reconfigurable system constructed with FPGA is one of the means of studying high-performance computing, which give effective provide to pattern recognition research.

61. The filter is put on the power spectrum before applying the inverse Fourier transform to yield the correlation output. This technique can be used in pattern recognition of grey level input image.

62. This paper analyzes the remote sensing images data of Tanggu saltpan by the methods of pattern recognition, and classifies the water resources in Tanggu saltpan using supervised classification.

63. Indeed, research has shown that video games can improve mental dexterity, while boosting hand-eye coordination, depth perception and pattern recognition.

64. This paper discusses pattern recognition system based on artificial neural networks, which uses mathematics software MATLAB.

65. Recognition of graphic pattern is a branch of pattern recognition.

66. A new method for B a IC mask pattern recogni t ion is proposed based on the concept of pattern recognition and expert system(ES ).

67. Combined with fuzzy pattern recognition theory, the fuzzy identification criterions of flow patterns are established.

68. Through experiment investigation, this paper proposed future work for improving pattern recognition system based on VHM.

69. The dividing of seismic active period in north China is researched with the one of the pattern recognition methods-fitting optimum seeking method in this paper.

70. In this paper, two methods of realizing optical pattern recognition, spatial matched filter correlation and joint transform correlation(JTC), were discussed first with the emphasis on the JTC.

71. It's this pattern recognition process that leads to creative ideas.

72. Similarity measure is usually used to study the similar degree between multisource data, which is the basis of pattern recognition on spatial data.

73. The infrared pattern recognition system consists of image preprocessing, feature extraction and pattern classification.

74. Fuzzy pattern recognition is applied to the performance test of auto electric parts in this paper.

74. try its best to collect and make good sentences.

75. Shape recognition of object is one of the important directions in pattern recognition, and is widely used in image analysis, machine vision and target discrimination, etc.

76. Pattern analysis of power system is a new analyzing method which is developed with the application of pattern recognition to power system.

77. And the applicability of Mahalanobis distance discrimination analysis and topology pattern recognition for reconstructed milk identification was discussed.

78. The pattern recognition system has a universal value of engineering application.

79. A supervision and sorting technique by means of statistical pattern recognition and using color as characteristic space was put forward according to the properties of plant disease image.

80. The paper presents a novel two the-layered pattern recognition system on the basis of both WISARD and SDM.

81. The mode of machining pattern recognition has been successfully used in the adaptive control system for milling process and the result has been an important basis for control.

82. The methods of X-lay image processing and pattern recognition were used to test internal quality of rambutan fruit, the edible rate and the content of soluble solids.

83. Optical pattern recognition makes an important way to realize the 3D object recognition. It has a huge application and economic value in the social and military domains.

84. In this paper, a three-star-star-map divi(?) posed based on the star pattern recognition.

85. As a mode of expression of knowledge the syntactic pattern recognition is included in the preliminary intelligences...

86. The features of the frequency spectrum of the voltage waveform induced in a search coil placed in the stator slots of the brushless ac exciter are used in pattern recognition.

87. A common classification, commonly used in face recognition, palmprint recognition , pattern recognition.

88. By adding pattern recognition system to IC package equipment, a manual wire-bonder to automatic one was successfully ameliorated.

89. The hybrid index hierarchy fuzzy decision-making method is proposed on the basis of the idea of hierarchy analysis, the fuzzy pattern recognition technique and the fuzzy consistent matrix.

90. Methods Chemical pattern recognition was performed on the fruits of Ligustrum lucidum collected from various areas of China by PCA (principal component analysis) method.

91. A key problem for the pattern recognition with Wiener filter(WF) is obtainment of apriori knowledge and reliable estimation of noise.

92. Another set uses dedicated pattern recognition routines to detect different types of hybridisation defect in replicates.

93. Pattern recognition theory is important for scientific data processing and analysis.

94. Aimed at this a preliminary study is made in this paper on subjects such as knowledge engineering, digital pattern processing, syntactic pattern recognition, etc.

95. Our pattern recognition system is set into motion every time our senses perceive something.

96. OBJECTIVES To introduce a simple chemical pattern recognition - cluster analysis in chemical classification of Chinese medicinal materials.

97. In this thesis, we use the ATD color human vision model instead of the traditional RGB color model for polychromatic pattern recognition.

98. Moreover, the design procedure of the pattern recognition is presented and the corresponding pattern classifier is established.

99. The construction of the model is similar to the construction of the pattern in syntactic pattern recognition.

100. A new method of insects' computer automatic classification based on voice pattern recognition technology is presented.

101. The technology of biologic pattern recognition has become more and more important in the world.

102. Conclusion Fuzzy relative entropy method is more significant for fuzzy pattern recognition.

103. The fuzzy measure and compatibility of fuzzy sets of type O have importantapplied values in fuzzy reasoning and fuzzy pattern recognition.

104. As the developing of the computer technology, voice pattern recognition technology basing on acoustic signal processing grows fast in recent years.

105. Experimental results demonstrate that it is possible to achieve the rotation-invariance pattern recognition in registration mark with the proposed method.

106. In this dissertation, first, we built the Pattern Recognition logic diagnoses model of BF wall temperature and temperature-changing.

107. Fuzzy mathematics on theory of fuzzy cluster, fuzzy pattern recognition and fuzzy decision is developed.

108. The problem of Chinese handwritten character recognition by computer is thought of one of the most difficult problems in the field of pattern recognition.

109. Map pattern recognition is an important research direction in mapping automation now. Recognizing map information automatically from scanning map by computer carves out a new way for map digital.

110. The classifier design is a key step for pattern recognition systems.

111. The structure of fuzzy pattern recognition system, its design and implementation are emphasized with an example.

112. Finally, with the technique of parsing and the automaton pattern recognition in the syntactic pattern recognition, the classification of braided drainage is carried out.

113. Biological Immune is a highly complexity and self-adaptive system with capability of learning, memory acquisition, pattern recognition and so on.

114. The nature of automation target recognition is pattern recognition, and feature extraction is an important part of pattern recognition system, which is a powerful guarantee of correct classification.

115. The paper applies the method of language pattern recognition to identify language recognition model of isosceles triangle.

116. Using ultramarine pigment, experiments of surface modification were done by microcapsulizing. The Surface shape of particles was distinguished by the technique of pattern recognition on a computer.

117. As a mode of expression of knowledge the syntactic pattern recognition is included in the pr...

118. In this paper, a syntactic pattern recognition method of the detection of pulse wave's characteristic information is introduced.

119. Star pattern recognition is the key problem of satellite position determination from start sensor.

120. The critical threshold in the model calibrated using the linear discriminant function in the pattern recognition.

121. Aim In order to study the application of fuzzy relative entropy for fuzzy pattern recognition.

122. Electronic tongue is a multi-sensors system which can be used to analyse liquids . It is composed of sensors array, signal process and pattern recognition system.

123. Finally this paper point out application of relative entropy coefficient in pattern recognition.

124. It differentiates vehicle response frequency curve and fuzzy pattern recognition.

125. An approach of computer geometric pattern recognition, which is based on semantic knowledge of an engineering structure sketch, is presented in this paper.

126. Pattern recognition of thermophilic and mesophilic proteins were studied through principle component analysis, partial least-square regression and BP neural network.

127. Adaptive pattern recognition system (WISARD) has found extensive applications in various areas because of its massive parallel distributed processing ability, versatility and self adaptability.

128. Pattern recognition classifier design, the source for the K - means, after debugging through.

129. In this paper , we present a novel method for spectral signal pattern recognition.

130. Employing the signals of a normal bearing, ball fault, inner race fault and outer race fault for pattern recognition, the result indicates that the method is valid and robust.

131. In this paper, open issues of information fusion and pattern recognition based on 2D graph representation of multivariate data have been proposed.

132. The two-star pattern recognition method is researched on the small field of view provided that the sky-area to be observed is fixed.

133. NORMAL Data normalization for pattern recognition complete source code, has been tested.

134. In order to solve complicated problems of pattern recognition[http:///pattern recognition.html], a method of multi-model of artificial neural networks with serial-parallel structure is proposed.

135. As a mode of expression of knowledge the syntactic pattern recognition is included in the preliminary intelligence system here constructed for the interpretation of potential field data.

136. In order to detect QRS complex correctly, ECG signal is first filtered and approximated piecewise, and then is recognized with syntactic pattern recognition.

137. Handwritten character recognition is one of the research topic field of image processing and pattern recognition.

138. The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.

139. The gas range of Bao - 1 block is also predicted by using the seismic pattern recognition.

140. Optical character recognition ( OCR ) is one of the most successful applications of pattern recognition.

141. A real-time television tracking system using pattern recognition and image processing techniques is described.

142. Its mathematical basis are topological analysis of sample set in the high dimensional feature space, therefore it is also called the Topological Pattern Recognition.

143. Entropy, standard deviation, mean absolute deviation of the PD gray images are extracted and the acquired characteristics are analyzed for five types of discharge pattern recognition.

144. With the development of pattern recognition, its research object changed from simple target to complex target.

145. Because of the inherent feature of optical pattern recognition, it is quite difficult to realize target recognition in natural background.

146. Methods According to the modified fuzzy relative entropy formula, the application of fuzzy relative entropy for fuzzy pattern recognition is studied.

147. But Gaussian model is often used in the pattern recognition research.

148. For a prosthesis controlled by sEMG, the ultimate problem of the motional pattern recognition is how to find out the effective characteristic signal.

149. The method of diffraction pattern analysis has been widely applied to pattern recognition.

150. This paper studies the design of pattern recognition system based multiple classifiers combination.

151. As a mode of expression of knowledge the syntactic pattern recognition is included in the preliminary intelligence system ...

152. The structural representation based on mid dle axis skeleton is a common method in pattern recognition.

153. Voice pattern recognition has broad prospects of application in unmanned guard, defect detecting, disaster-preventing and so on.

154. Classification tree ap plication in credit risk analysis as a statistic - based pattern recognition comp ut er - technique.

155. Recently, as the fast development of information technology, the pattern recognition system is needed in many research areas.

156. Automatic human face recognition is attractive in pattern recognition and image procession. The human face is a complex pattern.

157. Geometric shape description is one of the main research topics in computer graphics, computer vision and pattern recognition.

158. According to fuzzy clustering theory and fuzzy pattern recognition theory, a theory and model deciding forecast factor weight was present on basis of fuzzy object function in this paper.

159. Many reports have been made about the applications of fractal theory in the fields of natural image simulation, image texture analysis, pattern recognition etc.

160. Based on a lot of experiments, using technology of image processing and pattern recognition, the Interface extraction theory and methods of automatic foamed dreg were investigated.

161. Presented issues include 2D graph representation, visual pattern recognition mathematical basis, geometry feature extraction, computational geometry application in PR, and so on.

162. At present, the main pattern recognition includes the computer pattern recognition and the optical pattern recognition.

163. Using this model, using pattern recognition method can be carried out on the work area of other pending drilling bit selection, to improve the drilling rate when drilling to reduce drilling risk.

164. The fractional Fourier transform contains the spatial information and the spatial-frequency information simultaneously. The fractional correlation can be used to optical pattern recognition too.

165. Osage Shanghai is pleased to present Art Economies beyond Pattern Recognition,[http://] an exhibition that attempts to explore new possibilities within and for the art economy.

166. biomedical signal processing, medical image processing, medical instrument developing and pattern recognition.

167. As a new machine learning method, support vector machine (SVM) is founded on the statistical learning theory (SLT). SVM has good performance both on pattern recognition and regression problems.

168. This paper explains the advantages using Fesher discriminant function in CORA - 3 algorithm for pattern recognition.

169. Shape recognition of object is important research direction in pattern recognition, and is widely used in image analysis, machine vision and target discrimination.

170. The paper introduces the process of voice pattern recognition, including the method for pre-processing, extraction of feature and classification of pattern.

171. The statistical pattern recognition approach for on-line transient stability assessment of power system had met with many problems such as large off-line computation and recognition accuration, etc.

172. More over an optoelectronic architecture for real time pattern recognition is proposed.

173. As a mode of expression of knowledge the syntactic pattern recognition is included in the preliminary intelligence system here constructed for the inter...

174. So voice pattern recognition would be one of way to machine's inspection on line and fault-forecast. It will be main direction of fault-prediction filed's development.

175. Pattern recognition for volume holographic image-base built by both angular multiplexing technology and block-oriented holographic storage technology were implemented by using CC method.

176. A new principle of traffic pattern recognition based on the net increment and the intensity of gradient change of the traffic demand is presented.

177. Multiway decision tree has important applications in pattern recognition, artificial intelligence and decision support systems.

178. Wheel tread wear is one of the main causes that threaten safety of trains, a kind of method is put forward, which is the subtraction of pattern recognition applying in the wheel tread wear of trains.

179. Finally, a method based on clustering is proposed to realize the classifier selection procedure in the pattern recognition system based on multiple classifier selection.

180. It has great potential in the application areas of picture compression, pattern recognition, and controller implementation for high-precision real-time intelligent control.

181. By this filter, the shift, scale and rotation invariant optical pattern recognition was realized with a high signal noise ratio of correlation output.

182. Shape recognition of planar curves is a fundamental problem of pattern recognition. But it has not been well resolved by now.

183. The proposed fuzzy pattern recognition model under fuzzy environment is applied to theevaluation of groundwater vulnerability.

184. A new optical system for real-time pattern recognition is presented, which mainly consists of a laser diode, an acoustooptic device with multi-transducer, a charge-coupled device and optical lenses.

185. Automatic face recognition is one of the most important subject in the field of pattern recognition.

186. It provides rich methods for pattern analysis, signal processing, syntactic pattern recognition and other pattern recognition fields.

187. The experimental results show that it ia not sensitive to scale change and rotation. Thus it offers convenience in the application of certain pattern recognition.

188. This procedure is based on the field of pattern recognition image texture analysis.

189. Object shape recognition is a challenging problem in the field of pattern recognition and computer vision.

189. is a online sentence dictionary, on which you can find nice sentences for a large number of words.

190. Feature extraction is the most important step in the pattern recognition system of partial discharge.

191. Offline machine printed character recognition, an important branch of pattern recognition, is one of the vitalest parts of intelligent interface.

192. Establishing affine invariant similarity measure of shapes is one of the basic problems in pattern recognition, computer vision and image understanding domains.

193. We use the theory of biomimetic pattern recognition for the speaker - independent continuous speech recognition.

194. The experiment indicates that the optimized ARTIS not only improves the pattern recognition percentage, but also obtains satisfactory time complexity and space complexity.

195. OCR ( Optical Character Recognition ) is an important branch of pattern recognition.