(1) The neural network picture is still building.

(2) Hitachi has developed a wafer-scale neural network.

(3) Some neural network implementations require this special-purpose hardware.

(4) In order for the neural network software to recognize the input data, we must enter each image or number serially.

(5) The neural network collects its data incrementally, every five minutes.

(6) The neural network cycles through the data and attempts to find the appropriate matching vector.

(7) The neural network approach requires fewer resources than conventional statistical methods, and further[sentence dictionary], can process data in real time.

(8) Neural network efforts pay more attention to how the brain functions.

(9) This took as long as running the neural network, just over two hours.

(10) The structure of a neural network allows it to be good at particular kinds of learning.

(11) Personally, we would not consider delivering a neural network unless it was embedded in an expert system.

(12) Having never dealt with a statistical neural network, we were uncertain how we could verify the integrity of the network.

(13) In addition to simulations, analog neural network circuits have been built and tested.

(14) It is considered complete when the neural network produces the required outputs for a given sequence of inputs.

(15) Our goal is to develop a neural network that can recognize the numerals 0 through 9.

(16) Kohonen networks have capabilities unmatched by other neural network models.

(17) Such an algorithm can provide an alternative learning mechanism in a neural network.

(18) The following tables illustrate this important difference between the current inspection method and the neural network approach.

(19) Consequently, there is no need for the immense resources needed by other neural network systems in calculating thousands of weights.

(20) If you use a modem, you are using a small neural network.

(21) Tables 8. 1 through 8. 4 present the most generally used and best known neural network paradigms.

(22) The past couple of years have witnessed an explosion in the number of neural network articles appearing in computer magazines.

(23) Keep in mind that there are many different types of neural network architectures.

(24) Netbuilder will, according to the company, allow developers to build information analysis systems using multiple neural network and statistical analysis modules.

(25) Research Areas Learning constitutes one of the key features of a neural network.

(26) Figure 9. 18 illustrates our methodology for developing a neural network.

(27) Although digital computers have to simulate this parallelism, true neural network hardware will really perform the operations in parallel.

(28) The proposed system will integrate conventional computing, expert systems, and neural network methods.

(29) Off-line training time, then, becomes one of the most important elements in initially selling neural network technology.

(30) Then there were software specialists: programmers, systems engineers, knowledge engineers, and now, neural network architects.

(31) The neural network takes each pixel, does calculations, and enters information on a graph.

(32) You would not want to use an artificial neural network, for example, to keep your finances.

(33) The number of interconnects in a neural network is directly proportional to the complexity of the model that can be implemented.

(34) Another key issue is the choosing of appropriate neural network architecture and paradigms to match applications.

(35) The addition of neural network methods came about because of several problems.

(36) Improving Computational Models A significant portion of neural network research centers on the improvement of computational models.

(37) Learning is the process by which a neural network modifies its weights in response to external input.

(38) If a neural network system is good at recall functions only,[] then it is necessary to impose constraints and limitations.

(39) The first step each time is to decide how to represent your information for presentation to the neural network.

(40) Pairs of inputs and outputs are applied to the neural network.

(41) However, this application will illustrate in detail other techniques you can adopt in developing an application-specific neural network.

(42) Existing Applications Most of the applications currently on the neural network scene are prototypes or research projects.

(43) Next we prepare the data for presentation to the neural network software development program.

(44) We know from reading the literature that there are many ways to implement a neural network.

(45) Embedded Neural Networks A neural network embedded in an expert system has many advantages.

(46) Two general categories are used in describing neural network organization.

(47) Many neural network paradigms have evolved over the past decade.

(48) One solution is to embed your neural network in an expert system.

(49) John Godfrey Saxe Several characteristics of neural network technology set it apart from conventional computing and artificial intelligence approaches.

(50) Neuroscience Network Projects: Scientists are increasingly turning to chemistry and biology to create new designs for neural network computer systems.

(51) Terminology Several descriptors are typically used in evaluating neural network implementations.

(52) Into this milieu comes now the neural network approach to artificial intelligence, where learning is built into every system.

(53) Managers found themselves wondering whether a conventional approach could replace the neural network.

(54) Storing Knowledge Knowledge within a neural network is not stored in specific memory locations, as it is in conventional computing.

(55) Introduces the accumulated error algorithm of forward neural network.

(56) A path delay fault testing generation algorithm for digital circuits based on neural network is proposed because the testing generation for path delay fault in digital circuits is more difficult.

(57) A cascade neural network composed of double-layer radial basis function (RBF) and linear basis function (LBF) is proposed for pattern classification .

(58) Based on it, the dangerous degree measure (dangerous believe degree) was put forward, applied the trained neural network to a few outburst mines engineering verification of Huainan diggings.

(59) An application of cellular neural network ( CNN ) in mathematical morphology is presented.

(60) Objective To study the artificial neural network in the diagnosis of the smear negative pulmonary tuberculosis.

(61) Neural network has been nicely applied in pattern recognition and hydrocarbon prediction in applied geophysics.

(62) Their motor neural network seems as flexible as their bodies — a phenomenon that expands the range of neurophysiological possibility, and could refine the design of arm-flexing robots.

(63) In view of dual-pulse welding procedure, a predicted model of spot weld forming for non-thick dissimilar steel was developed by the method of neural network based on a large number of experiments.

(64) A controlling model of inverter spot-welding process and a fuzzy neural network configuration about inverter spot-welding with constant current control were built in this paper.

(65) The calculation model for predicting rubber aging properties was derived by means of neural network method.

(66) The results of experiments indicate:the ensemble neural network can improve greatly the accuracy of software reliability prediction.

(67) In this paper,[] Bayesian Regularization algorithm and BP neural network were combined to forecast submarine sonar self-noise.

(68) Furthermore, this paper says that combining finance neural network with fuzzy system and traditional method is a new field for intelligence information processing.

(69) Which is combined with BP(Back Propagation) neural network for fault location to realize the mapping relationship between modulus maximum and fault point location.

(70) In crude oil evaluation database, physical properties are calculated by using a neural network method.

(71) An improved Backward Error Propagation Algorithm used as neural network controllers to control a nonlinear system is presented in this paper.

(72) On the basis, an artificial neural network is integrated with fuzzy system for fault diagnosis.

(73) Moreover, a new visual control scheme based on artificial neural network is designed, and the visual tracking problem is converted into a servo problem in image feature space.

(74) Studies the neural network model which is useful for behavioral patten's detection in the anti - fraud model.

(75) A novel method for adaptive communication channel equalization based on a multi layer feed forward neural network training algorithm was proposed in this paper.

(76) Residuals were achieved by comparing the output of neural network with the real state value. Fault detection rules were distilled from the residuals to execute actuator fault diagnosis.

(77) This paper proposes a neural network based incremental data indexing method.

(78) Integrated with case-based reasoning(CBR) and Adaptive Resonance Theory-Kohonen Neural Network(ART-KNN), a Cucumber Fusarium Wilt(CFW) intelligent forecast method was proposed in this paper.

(79) Simulation results show that the system based on neural network is superior to a conventional system in the aspects of robustness and brake efficiency.

(80) Mould, manufacturing cycle, the n back - propagation ( BP ) neural network, the mathmatical model.

(81) Another controlled neural network has been trained to simulate hybrid control system of structure and it has been used to control th...

(82) A novel handwritten numeral recognition approach was presented using multi-wavelet neural network clusters to expand contour shell.

(83) The method of artificial neural network (ANN) has good non-linear, approximation ability and high discrimination ratio; it has a great future in intelligent instrument.

(84) The fourth, the paper studies the seismic muti-attribute's depressed dimension mapping method based on K-L transform and its optimizing forecast strategy based on BP neural network.

(85) The condition monitoring system based on neural network and fuzzy logic for an aero-engine was proposed, which covered data validity and health assessment.

(86) Simulated data sets based on the Integration Equation Model (IEM) are used to train the neural network.

(87) In this paper, a Modified Neural Network ( MNN ) based power controller is proposed to smoothen out the fast fading and keep the received signal power from each user constant at the base station.

(88) This article proposes a modified algorithm for solving the travelling salesman problem ( TSP ) by neural network.

(89) Neural network technology applied to springback prediction of TWBs gives a new way to research optimization of TWBs forming.

(90) In this paper, the expert system and neural network techniques are combined in the development of the power plant operation guidance system.

(91) Cervical smear recognition system bases on neural network is designed and developed. The system can be used to merge, classify and standardize files of the cell feature parameters automatically.

(92) Through taking an example and comparing with neural network model and conicoid polynomial fitting model, the availability of LSSVM method o.

(93) In this paper, a real-time control system of graphite Fluid Bed Furance based on the ANN(Artificial Neural Network)method is discussed.

(94) The method of intelligent control based on neural network is applied in electrode current of arc furnace. The electrode current is analyzed and simulated by the BP and RBF models of neral network.

(95) A neural network model has been set up with the principle of neural network. Based on the existing data, the import cell, export cell and concealed layer node list have been ascertained.

(96) RBF neural network is used to predict nugget sizes of resistance spot welder, in which the input vectors are constructed by time sequences of cycle parameters.

(96) try its best to gather and build good sentences.

(97) Complex network can be tangible objects in the Euclidean space, such as electric power grids, the Internet, highways or subway systems, and the neural network.

(98) The fault diagnosis of gyroflex servo loop using BP neural network has been simulated, and the results are very satisfactory.

(99) The comparison with BP neural network shows that the calibration accuracy can be improved by using the LS-SVM. The real-time performance is good and response velocity is quick.

(100) A method, which combined neural network and genetic algorithms, was employed to simulate the catalytic distillation process by black box model and optimize the operational parameters.

(101) The results show that the wavelet neural network is better than the traditional BP artificial network.

(102) The time parameter is also imported into the neural network to give the time-varying characteristic of the process.

(103) Chaos is a kind of phenomenon and behavior, and neural network is a kind of topology with specific compute mode. They have their own characters and similar nonlinear characters.

(104) This article presents the contribution of ANN(Artificial Neural Network) in middle term load forecasting.

(105) Zizhong wheat scab forecasting model was established using the method of BP neural network. The models main purpose was to provide scientific basis for preventing wheat scab from happening.

(106) The article though analyse and compare(), proves the possibility of appling the data fusion method of BP neural network to processing multisystem's data of solid rocket motor.

(107) To overcome the defect of overelaborate for the fussy, intricate and low accurate method, a new method of stability analysis of loess slopes is put forward with the theory of neural network.

(108) The problems of reading defect characters of images and misrecognition of similar characters can be solved by a kind of sifting-connection algorithm and the application of BP neural network technique.

(109) The dynamic vibration information is gained from acceleration meter, and then by FFT analysis, the frequency information of vibration is used as the training specimen of neural network.

(110) A genetic neural network control method for variable displacement pump of hydraulic dozer with the energy saving purpose is suggested.

(111) Neural network based soft sensor models of diesel oil solidifying point crude distillation unit are discussed.

(112) The paper describes genetic algorithm, genetic planning, evolutive planning, artificial neural network and ant group algorithm and cites their application in the mining industry.

(113) Vittorio Murino puts forward three algorithms based on the combination of neural network and tree structure.

(114) In the section of doorplate number recognition, doorplate number recognition is presented by wavelet neural network based on BP.

(115) Firstly the relation matrix changing KTSP into TSP is got, then applying chaotic neural network based on annealing strategy(ACNN) solves KTSP.

(116) Based on the application of artificial neural network principle, this paper presents a BP artificial neural network model for aeromagnetic information connection.

(117) The notation of the network state graph and its hole are presented in serial updating mode, and the relation between the hole and the stability of neural network is investigated.

(118) According to the problem of information redundancy in synchronization logistics system, this paper proposes a solution based on neural network expert system which can choose information intelligently.

(119) A lossless data compression scheme based on neural network is obtained through the structure specific mapping, integral function and BP neural network.

(120) De-noise filter method based on single value decomposition is applied to preprocess traffic volume time series, and a radical basic function neural network is trained for prediction.

(121) Secondly, the probabilistic neural network ( PNN ) was utilized to identify the fault mode.

(122) We use neural network because of its simpleness and accurateness.

(123) Based on the hypothesis presented by Hornik that three layer artificial neural network (ANN) can represent not only all functions but also all step derivatives of them at any precision.

(124) Multiple linear regression, binominal regression and neural network methods were applied in the analyses.

(125) The collected data of in situ testing , combined with R-wave velocity parameter, was used to develop the way to estimate the bearing capacity by multi-parameter and neural network.

(126) Modeling and realizing of RBF network requires outstanding programming capability, which greatly prevent the neural network technique from spreading and application.

(126) Wish you will love and make progress everyday!

(127) The thermodynamical properties of polymers are studied using a BP artificial neural network model.

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

(129) In the fault diagnosis, proceeds positive-going calculation by using the created neural network structure to infer the final result.

(130) Predicting the fire behavior is a new application area of Artificial Neural Network ( ANN ).

(131) This method uses B-spline basis function as fuzzy membership function, neural network to realize fuzzy inference, and BP algorithm to train network.

(132) In view of the disadvantages of zero-pole matching dynamic compensation method, the dynamic compensation method of tilting train measurement system based on non-linear neural network is put forward.

(133) With highly nonlinear and a self-learning ability, BP neural network makes it possible, and however, the BP algorithm has a very slow convergence speed and gets into a local minimum easily.

(134) The control approach is composed of a linear robust decoupling generalized predictive controller, a neural network nonlinear decoupling generalized predictive controller and a switching mechanism.

(135) Compared to traditional regression method- interval integral and artificial neural network, it has better generalization ability.

(136) The latter two of my design goals above can be fulfilled neatly by a neural network (assuming that the original computational problem can be solved with such a network[], of course).

(137) This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space.

(138) Aiming at the present problem of radar radiating source recognition system a new method of radiating resource recognition connecting neural network technology is proposed.

(139) The data set trained for neural network is obtained by design of experiments and vortex lattice method program.

(140) Experiment results indicate that the wavelet neural network has faster convergence speed and higher correct recognition rate.

(141) This text begins with the analysis of subjective method testings MRTD, brings up an objective method based on Artificial Neural Network and used planar CCD to measure MRTD.

(142) Nonlinear function approximation using BP neural network and RBF neural network is simulated.

(143) The main factors that have influence on allocation of the sensors are analyzed. A target priority determination algorithm based on neural network is given.

(144) First, image frizzy sets were taken as character space, and then the exact position was optimized by the 3 layer forward neural network algorithm.

(145) By using the founded neural network model and DMC predict control algorithm, simulation research has been completed on the idle speed control in this pape.

(146) The time serial of short fatigue cracks' propagation rate is modeling and predicting by using neural network in this article, and the good result is achieved.

(147) The neural network ensembles based on lateral inhibition of cortical columns are built to simulate the neuron firing phenomenon in cortical columns and to be used for position tracking.

(148) The results showed that the neural network forecasting model based on L-M algorithm has higher prediction accuracy and a high value in the rural power system short-term load forecasting.

(149) In this paper, a neural network model is used to simulate the different operating modes of liquid air distillation column and the result is satisfactory.

(150) Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model, and it is its disadvantage.

(151) Some multiple texture features as the input characteristics for classifier are selected and then fused. Lastly, the neural network is used to realize the separation of coal and gangue.

(152) Self-Organizing Fuzzy Cerebella Model Articulation Controller (SOFCMAC) neural network is used to correct the nonlinear system inversion error due to modeling uncertainties and disturbances.

(153) SOM neural network is full-connection nerve cell array for self-organizing and self-learning without teachers. It is of strong non-linearity mapping capacity and flexible network structure.

(154) This paper presented a neural network based technique to obtain fundamental waveform from a single phase half bridge inverter by square wave mode.

(155) The configuration of M-P neuron model composing artificial neural network (ANN), the relationship between output and input function, and conventional training rule-BP network in ANN are elaborated.

(156) This new inference engine consists of forward neural network inference model and backward logical inference mcdel.

(157) In conclusion, according to gray neural network theory, design a dynamic risk early warning system, and present the early warning monitoring specific methods and steps.

(158) Neural Network is an estimator of adaptive resonance function, which is not dependent on models, and could fulfill arbitrarily functional relation without them.

(159) First, the generalized inverse matrix has many important applications such as neural network computing.

(160) An available Neural Network Toolbox ( NNT ) in MATLAB, however, solves the problem.

(161) Synopsis Application of neural network in EAF, blast - furnace, rolling and combustion is introduced.