文件列表:

BALOPEX.CPP (19104, 2001-02-16)

Usage: ALOPEX TrainFileName ParmFileName WeightFileName Parm file format: Qzero - Sigmoidal Gain (Neuron sigmoidal fn's Temperature) ETA - ALOPEX learning rate delta - ALOPEX step size T - Alopex's temperature const (starting value) MaxIter - Max # of iterations ERRTOL - Error Tolerence for converence NumLayers - Number of layers in target network N(input) - Number of neurons in input layer N(hidden1) - Number of neurons in 1st hidden layer N(hidden2) - Number of neurons in 2nd hidden layer (if present) . . . N(hiddenK) - Number of neurons in Kth hidden layer (if present) N(output) - Number of neurons in output hidden layer Trainining file format: NumPatterns - Number of patterns in training set I0 I1 ... In D - Real input for each input / desire value for pattern 1 I0 I1 ... In D - Real input for each input / desire value for pattern 2 . . . . . . . . . . . . I0 I1 ... In D - Real input for each input / desire value for pattern P 

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：