openModeller
Version 1.5.0
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This is the complete list of members for Network, including all inherited members.
addError(int max_pattern) | Network | inline |
getBias(int i, int j) const | Network | inline |
GetOutput(void) const | Network | inline |
getProgress() | Network | inline |
GetRand(void) | Network | inline |
getWeight(int i, int j, int k) const | Network | inline |
Layers | Network | |
Limiter(double value) const | Network | inline |
mean_square_error | Network | |
net_inputs | Network | |
net_layers | Network | |
net_learning_rate | Network | |
net_outputs | Network | |
net_tot_layers | Network | |
Network() | Network | inline |
progress | Network | |
RandomizeWB(void) | Network | inline |
setBias(int i, int j, double b) | Network | inline |
SetData(double learning_rate, int layers[], int tot_layers) | Network | inline |
setError(int max_pattern) | Network | inline |
SetInputs(vector< double > inputs) const | Network | inline |
setWeight(int i, int j, int k, double w) | Network | inline |
SigmaWeightDelta(unsigned long layer_no, unsigned long neuron_no) | Network | inline |
square_error | Network | |
Train(vector< double > inputs, vector< double > outputs, int number_pattern, int max_pattern, double momentum) | Network | inline |
trainingEpoch(unsigned long actual_epoch, double epoch_total, int patterns) | Network | inline |
trainingMinimumError(int patterns, double min_error) | Network | inline |
Update(void) | Network | inline |
~Network() | Network | inline |