Inheritance diagram for nnet::LinearNeuron:
Collaboration diagram for nnet::LinearNeuron:
Public Member Functions | |
| LinearNeuron (const int numberOfInputs, const double slopeEnd=0.5, const double bias=-1.0, const NeuralNet *parent=0) | |
| void | destroy () const |
| double | slopeEnd () const |
| void | setSlopeEnd (const double slopeEnd) |
| Neuron * | clone (const NeuralNet *parentNetwork) const |
| void | outputRange (double &outputmin, double &outputmax) const |
 Public Member Functions inherited from nnet::Neuron | |
| double | output (const std::vector< double > &inputValues) const |
| double | derivativeOutput (const std::vector< double > &inputValues) const |
| std::vector< double > | weights () const |
| double | bias () const |
| int | numberOfWeights () |
| void | setWeights (const std::vector< double > &newWeights) |
| void | serialise (std::ostream &os) const |
Protected Member Functions | |
| double | thresholdFunction (const double activation) const |
| double | derivative (const double x) const |
| void | serialiseExtra (std::ostream &os) const |
| std::string | neuronType () const |
| Protected Member Functions inherited from nnet::Neuron | |
| Neuron (const int numberOfInputs, const double bias, const NeuralNet *parentNetwork=0) | |
Additional Inherited Members | |
| Protected Attributes inherited from nnet::Neuron | |
| const int | _numberOfInputs |
| const double | _bias |
| std::vector< double > | _weights |
| const NeuralNet * | _parentNetwork |
Detailed Description
Definition at line 16 of file LinearNeuron.h.
The documentation for this class was generated from the following file:
