The base class for all neurons in a neural network. More...
#include <GeneralNeuron.h>
Public Member Functions | |
| virtual double | CalcDeriv (const double input)=0 |
| Calculate the derivative of the activation function, at point input. More... | |
| virtual double | GetNet ()=0 |
| Get the net output before application of the activation function. More... | |
| virtual double | GetDelta ()=0 |
| Get delta for the weight correction formula. More... | |
| virtual void | SetDelta (const double d)=0 |
| Set delta. More... | |
| virtual void | SetBias (const double b)=0 |
| Set the bias. More... | |
| virtual double | GetBias ()=0 |
| Get the bias. More... | |
| virtual const std::vector < double > & | GetWeights ()=0 |
| Access function for the weights. More... | |
| virtual std::vector< double > & | SetWeights ()=0 |
| virtual const std::vector < double > & | GetOldDelta ()=0 |
| Vector valued delta for the momentum adaptation scheme. More... | |
| virtual std::vector< double > & | SetOldDelta ()=0 |
| virtual const GeneralLinearCombiner::tinvector & | GetInput ()=0 |
| Get the pointers to the input neurons. More... | |
| double | GetOutput () |
| Get the output given the current weights. More... | |
| double | GetLastOutput () |
| Get the last result from calling GetOutput, needed during adaptation. More... | |
| virtual void | SetInput (const GeneralLinearCombiner::tinvector &input) |
| Set pointers to the input. More... | |
| GeneralNeuron () | |
| virtual | ~GeneralNeuron () |
Detailed Description
The base class for all neurons in a neural network.
GeneralNeuron implements some common functionality, but mostly abstract base classes to define a common interface for all neurons
Definition at line 14 of file GeneralNeuron.h.
Constructor & Destructor Documentation
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inline |
Definition at line 57 of file GeneralNeuron.h.
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inlinevirtual |
Definition at line 60 of file GeneralNeuron.h.
Member Function Documentation
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pure virtual |
Calculate the derivative of the activation function, at point input.
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
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pure virtual |
Get the bias.
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
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pure virtual |
Get delta for the weight correction formula.
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
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pure virtual |
Get the pointers to the input neurons.
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
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inline |
Get the last result from calling GetOutput, needed during adaptation.
Definition at line 49 of file GeneralNeuron.h.
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pure virtual |
Get the net output before application of the activation function.
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
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pure virtual |
Vector valued delta for the momentum adaptation scheme.
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
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inline |
Get the output given the current weights.
Definition at line 43 of file GeneralNeuron.h.
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pure virtual |
Access function for the weights.
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
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pure virtual |
Set the bias.
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
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pure virtual |
Set delta.
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
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inlinevirtual |
Set pointers to the input.
Reimplemented in gplib::SigmoidalNeuron.
Definition at line 54 of file GeneralNeuron.h.
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pure virtual |
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
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pure virtual |
Implemented in gplib::SigmoidalNeuron, and gplib::InputNeuron.
The documentation for this class was generated from the following file:
