| clear(void) | mimas::nn_mlp_tool | |
| feedForward(Matrix &pat) | mimas::nn_mlp_tool | |
| getIterations(void) | mimas::nn_mlp_tool | |
| init(int nodes,...) | mimas::nn_mlp_tool | |
| load(const char *fn) | mimas::nn_mlp_tool | |
| Matrix typedef | mimas::nn_mlp_tool | |
| nn_mlp_tool(void) | mimas::nn_mlp_tool | |
| object(void) | mimas::object | [inline] |
| save(const char *fn) | mimas::nn_mlp_tool | |
| setDebug(bool val) | mimas::nn_mlp_tool | |
| setIterations(int i) | mimas::nn_mlp_tool | |
| setTransferFuncDerivLayer(ptrToFuncType newfunc, int layer) | mimas::nn_mlp_tool | |
| setTransferFuncLayer(ptrToFuncType newfunc, int layer) | mimas::nn_mlp_tool | |
| showConfig(void) | mimas::nn_mlp_tool | |
| trainBatch(Matrix &pat, double learningRate=0.3, double momentum=0.05, double weightDecay=0.0) | mimas::nn_mlp_tool | |
| trainOnline(Matrix &pat, double learningRate=0.3, double momentum=0.05, double weightDecay=0.0) | mimas::nn_mlp_tool | |
| trainQprop(Matrix &pat, double learningRate=0.0005, double momentum=0.05, double maxFactor=2.0) | mimas::nn_mlp_tool | |
| trainRprop(Matrix &pat, double etapos=1.2, double etaneg=0.5) | mimas::nn_mlp_tool | |
| transferFunc(double val) | mimas::nn_mlp_tool | [virtual] |
| transferFuncDeriv(double val) | mimas::nn_mlp_tool | [virtual] |
| transferFuncDerivLinear(double val) | mimas::nn_mlp_tool | |
| transferFuncDerivTanh(double val) | mimas::nn_mlp_tool | |
| transferFuncLinear(double val) | mimas::nn_mlp_tool | |
| transferFuncTanh(double val) | mimas::nn_mlp_tool | |
| Vector typedef | mimas::nn_mlp_tool | |
| ~nn_mlp_tool(void) | mimas::nn_mlp_tool | |
| ~object(void) | mimas::object | [inline, virtual] |