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文件名称:NNET
介绍说明--下载内容来自于网络,使用问题请自行百度
BP-神经网络 The neural network is trained with the Levenberg-Marquardt algorithm.
The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).-Backpropagation neural network with one hidden layer for multivariate calibration. (Designed to model only one response y at a time)
The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).-Backpropagation neural network with one hidden layer for multivariate calibration. (Designed to model only one response y at a time)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
NNET/DRAWNN.M
NNET/KOLMOG.M
NNET/KOLNORM.M
NNET/KOLSMIR.MAT
NNET/LEVMARQ.M
NNET/LINFIT.M
NNET/LMEVAL.M
NNET/NNMODEL.M
NNET/NNPRED.M
NNET/PMNTANH.M
NNET/RANGENEW.M
NNET
NNET/KOLMOG.M
NNET/KOLNORM.M
NNET/KOLSMIR.MAT
NNET/LEVMARQ.M
NNET/LINFIT.M
NNET/LMEVAL.M
NNET/NNMODEL.M
NNET/NNPRED.M
NNET/PMNTANH.M
NNET/RANGENEW.M
NNET
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