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] |