SigmoidalNeuron Class Reference
[Neural Network filtering]
SigmoidalNeuron implements the main functionality of neurons in a neural network.
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#include <SigmoidalNeuron.h>
Public Types | |
| enum | tneurontype { bipolar, identity } |
| At the moment there are two types of neurons: bipolar and identity, they differ in their activation function. More... | |
Public Member Functions | |
| virtual const std::vector < double > & | GetOldDelta () |
| Get the last weight correction for momentum adaptation. | |
| virtual std::vector< double > & | SetOldDelta () |
| virtual double | CalcDeriv (const double input) |
| Return the derivative of the activation function. | |
| virtual double | GetNet () |
| Get the raw output of the linear combiner. | |
| virtual double | GetDelta () |
| Get the delta term of the weight correction formula. | |
| virtual void | SetDelta (const double d) |
| Set the delta term of the weight correction formula. | |
| virtual void | SetBias (const double b) |
| Set the bias of the linear combiner, the following functions are mostly for convenience access. | |
| virtual double | GetBias () |
| Get the bias of the linear combiner. | |
| virtual const std::vector < double > & | GetWeights () |
| Get the weights. | |
| virtual std::vector< double > & | SetWeights () |
| Set the weights. | |
| virtual const GeneralLinearCombiner::tinvector & | GetInput () |
| Get the input neurons. | |
| virtual void | SetInput (const GeneralLinearCombiner::tinvector &input) |
| Set the input neurons. | |
| virtual void | SetType (tneurontype type) |
| Set the type of neuron, determines the activation function. | |
| SigmoidalNeuron (tneurontype type, bool wantcached=false) | |
| Construct neuron with a known type. | |
| virtual | ~SigmoidalNeuron () |
Detailed Description
SigmoidalNeuron implements the main functionality of neurons in a neural network.Definition at line 15 of file SigmoidalNeuron.h.
Member Enumeration Documentation
At the moment there are two types of neurons: bipolar and identity, they differ in their activation function.
Definition at line 18 of file SigmoidalNeuron.h.
Constructor & Destructor Documentation
| SigmoidalNeuron::SigmoidalNeuron | ( | tneurontype | type, | |
| bool | wantcached = false | |||
| ) | [explicit] |
Construct neuron with a known type.
Definition at line 6 of file SigmoidalNeuron.cpp.
References SetType().
| SigmoidalNeuron::~SigmoidalNeuron | ( | ) | [virtual] |
Definition at line 15 of file SigmoidalNeuron.cpp.
Member Function Documentation
| virtual const std::vector<double>& SigmoidalNeuron::GetOldDelta | ( | ) | [inline, virtual] |
Get the last weight correction for momentum adaptation.
Implements GeneralNeuron.
Definition at line 38 of file SigmoidalNeuron.h.
| virtual std::vector<double>& SigmoidalNeuron::SetOldDelta | ( | ) | [inline, virtual] |
| virtual double SigmoidalNeuron::CalcDeriv | ( | const double | input | ) | [inline, virtual] |
Return the derivative of the activation function.
Implements GeneralNeuron.
Definition at line 41 of file SigmoidalNeuron.h.
| virtual double SigmoidalNeuron::GetNet | ( | ) | [inline, virtual] |
Get the raw output of the linear combiner.
Implements GeneralNeuron.
Definition at line 43 of file SigmoidalNeuron.h.
| virtual double SigmoidalNeuron::GetDelta | ( | ) | [inline, virtual] |
Get the delta term of the weight correction formula.
Implements GeneralNeuron.
Definition at line 45 of file SigmoidalNeuron.h.
| virtual void SigmoidalNeuron::SetDelta | ( | const double | d | ) | [inline, virtual] |
Set the delta term of the weight correction formula.
Implements GeneralNeuron.
Definition at line 47 of file SigmoidalNeuron.h.
| virtual void SigmoidalNeuron::SetBias | ( | const double | b | ) | [inline, virtual] |
Set the bias of the linear combiner, the following functions are mostly for convenience access.
Implements GeneralNeuron.
Definition at line 49 of file SigmoidalNeuron.h.
Referenced by main().
| virtual double SigmoidalNeuron::GetBias | ( | ) | [inline, virtual] |
Get the bias of the linear combiner.
Implements GeneralNeuron.
Definition at line 51 of file SigmoidalNeuron.h.
| virtual const std::vector<double>& SigmoidalNeuron::GetWeights | ( | ) | [inline, virtual] |
| virtual std::vector<double>& SigmoidalNeuron::SetWeights | ( | ) | [inline, virtual] |
Set the weights.
Implements GeneralNeuron.
Definition at line 55 of file SigmoidalNeuron.h.
Referenced by main().
| virtual const GeneralLinearCombiner::tinvector& SigmoidalNeuron::GetInput | ( | ) | [inline, virtual] |
| void SigmoidalNeuron::SetInput | ( | const GeneralLinearCombiner::tinvector & | input | ) | [virtual] |
Set the input neurons.
Reimplemented from GeneralNeuron.
Definition at line 26 of file SigmoidalNeuron.cpp.
Referenced by main().
| void SigmoidalNeuron::SetType | ( | tneurontype | type | ) | [virtual] |
Set the type of neuron, determines the activation function.
Definition at line 32 of file SigmoidalNeuron.cpp.
References bipolar, and identity.
Referenced by main(), and SigmoidalNeuron().
The documentation for this class was generated from the following files:
