BackProp(vector< float > &DesiredOutput, vector< float > &Output) | BOSS_NN | |
BOSS_NN() | BOSS_NN | |
Calculate(const vector< float > &Input) | BOSS_NN | |
Error | BOSS_NN | |
layer | BOSS_NN | |
Learnrate | BOSS_NN | |
LoadNN(const string &filename) | BOSS_NN | |
m_InputNeurons | BOSS_NN | |
net(int Layer, int Neuron, const vector< float > &Input) | BOSS_NN | |
NumberOfLayers | BOSS_NN | |
Reset() | BOSS_NN | |
SaveNN(const string &filename) | BOSS_NN | |
Update() | BOSS_NN | |
~BOSS_NN() | BOSS_NN |