文件名称:NNET
介绍说明－－下载内容均来自于网络，请自行研究使用
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
....\KOLMOG.M
....\KOLNORM.M
....\KOLSMIR.MAT
....\LEVMARQ.M
....\LINFIT.M
....\LMEVAL.M
....\NNMODEL.M
....\NNPRED.M
....\PMNTANH.M
....\RANGENEW.M
NNET
....\KOLMOG.M
....\KOLNORM.M
....\KOLSMIR.MAT
....\LEVMARQ.M
....\LINFIT.M
....\LMEVAL.M
....\NNMODEL.M
....\NNPRED.M
....\PMNTANH.M
....\RANGENEW.M
NNET