OneLayerFFNN Class Reference

simple one layer neural network with configurable activation function More...

#include <onelayerffnn.h>

Inherits FeedForwardNN.

Inheritance diagram for OneLayerFFNN:

[legend]Collaboration diagram for OneLayerFFNN:

[legend]List of all members.

Public Member Functions
	OneLayerFFNN (double eps, double factor_bias=0.1)
	Uses linear activation function.
	OneLayerFFNN (double eps, double factor_bias, ActivationFunction actfun, ActivationFunction dactfun)
virtual	~OneLayerFFNN ()
virtual void	init (unsigned int inputDim, unsigned int outputDim, double unit_map=0.0)
	initialisation of the network with the given number of input and output units
virtual const matrix::Matrix	process (const matrix::Matrix &input)
	passive processing of the input
virtual const matrix::Matrix	learn (const matrix::Matrix &input, const matrix::Matrix &nom_output, double learnRateFactor=1)
	performs learning and returns the network output before learning
virtual unsigned int	getInputDim () const
	returns the number of input neurons
virtual unsigned int	getOutputDim () const
	returns the number of output neurons
virtual const matrix::Matrix &	getWeights () const
virtual const matrix::Matrix &	getBias () const
virtual void	damp (double damping)
	damps the weights and the biases by multiplying (1-damping)
bool	store (FILE *f) const
	stores the layer binary into file stream
bool	restore (FILE *f)
	restores the layer binary from file stream
virtual paramkey	getName () const
	return the name of the object
virtual paramval	getParam (const paramkey key) const
virtual bool	setParam (const paramkey key, paramval val)
virtual paramlist	getParamList () const
	The list of all parameters with there value as allocated lists.
Private Attributes
double	eps
double	factor_bias
ActivationFunction	actfun
	callback activation function
ActivationFunction	dactfun
	first derivative of the activation function
bool	initialised
matrix::Matrix	weights
matrix::Matrix	bias

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Detailed Description

simple one layer neural network with configurable activation function

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Constructor & Destructor Documentation

OneLayerFFNN (  double  eps, double  factor_bias = 0.1 )  [inline]

Uses linear activation function. Parameters: eps  learning rate factor_bias  learning rate factor for bias learning

OneLayerFFNN (  double  eps, double  factor_bias, ActivationFunction  actfun, ActivationFunction  dactfun )  [inline]

Parameters: eps  learning rate factor_bias  learning rate factor for bias learning actfun  callback activation function (see FeedForwardNN) dactfun  callback for first derivative of the activation function

virtual ~OneLayerFFNN (   )  [inline, virtual]

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Member Function Documentation

virtual void damp (  double  damping  )  [inline, virtual]

damps the weights and the biases by multiplying (1-damping) Implements FeedForwardNN.

virtual const matrix::Matrix& getBias (   )  const [inline, virtual]

virtual unsigned int getInputDim (   )  const [inline, virtual]

returns the number of input neurons Implements AbstractModel.

virtual paramkey getName (   )  const [inline, virtual]

return the name of the object Reimplemented from Configurable.

virtual unsigned int getOutputDim (   )  const [inline, virtual]

returns the number of output neurons Implements AbstractModel.

virtual paramval getParam (  const paramkey  key  )  const [inline, virtual]

virtual paramlist getParamList (   )  const [inline, virtual]

The list of all parameters with there value as allocated lists. Returns: list of key-value pairs Reimplemented from Configurable.

virtual const matrix::Matrix& getWeights (   )  const [inline, virtual]

void init (  unsigned int  inputDim, unsigned int  outputDim, double  unit_map = 0.0 )  [virtual]

initialisation of the network with the given number of input and output units Implements AbstractModel.

const Matrix learn (  const matrix::Matrix &  input, const matrix::Matrix &  nom_output, double  learnRateFactor = 1 )  [virtual]

performs learning and returns the network output before learning Implements AbstractModel.

const Matrix process (  const matrix::Matrix &  input  )  [virtual]

passive processing of the input Implements AbstractModel.

bool restore (  FILE *  f  )  [virtual]

restores the layer binary from file stream Implements Storeable.

virtual bool setParam (  const paramkey  key, paramval  val )  [inline, virtual]

bool store (  FILE *  f  )  const [virtual]

stores the layer binary into file stream Implements Storeable.

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Member Data Documentation

ActivationFunction actfun [private]

callback activation function

matrix::Matrix bias [private]

ActivationFunction dactfun [private]

first derivative of the activation function

double eps [private]

double factor_bias [private]

bool initialised [private]

matrix::Matrix weights [private]

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The documentation for this class was generated from the following files:

• onelayerffnn.h
• onelayerffnn.cpp

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