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(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 sentencedict.com 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.