OneLayerFFNN Class Reference
simple one layer neural network with configurable activation function More...
#include <onelayerffnn.h>
Inherits FeedForwardNN.
Public Member Functions | |
| OneLayerFFNN (double eps, double factor_bias=0.1, const std::string &name="OneLayerFFN", const std::string &revision="$Id: onelayerffnn.h,v 1.10 2011/05/30 13:52:54 martius Exp $") | |
| Uses linear activation function. | |
| OneLayerFFNN (double eps, double factor_bias, ActivationFunction actfun, ActivationFunction dactfun, const std::string &name="OneLayerFFN", const std::string &revision="$Id: onelayerffnn.h,v 1.10 2011/05/30 13:52:54 martius Exp $") | |
| virtual | ~OneLayerFFNN () |
| virtual void | init (unsigned int inputDim, unsigned int outputDim, double unit_map=0.0, RandGen *randGen=0) |
| initialisation of the network with the given number of input and output units | |
| virtual const matrix::Matrix | process (const matrix::Matrix &input) |
| passive processing of the input | |
| virtual const matrix::Matrix | learn (const matrix::Matrix &input, const matrix::Matrix &nom_output, double learnRateFactor=1) |
| performs learning and returns the network output before learning | |
| virtual unsigned int | getInputDim () const |
| returns the number of input neurons | |
| virtual unsigned int | getOutputDim () const |
| returns the number of output neurons | |
| virtual const matrix::Matrix & | getWeights () const |
| virtual const matrix::Matrix & | getBias () const |
| virtual void | damp (double damping) |
| damps the weights and the biases by multiplying (1-damping) | |
| bool | store (FILE *f) const |
| stores the layer binary into file stream | |
| bool | restore (FILE *f) |
| restores the layer binary from file stream | |
Detailed Description
simple one layer neural network with configurable activation function
Constructor & Destructor Documentation
| OneLayerFFNN | ( | double | eps, | |
| double | factor_bias = 0.1, |
|||
| const std::string & | name = "OneLayerFFN", |
|||
| const std::string & | revision = "$Id: onelayerffnn.h,v 1.10 2011/05/30 13:52:54 martius Exp $" | |||
| ) | [inline] |
Uses linear activation function.
- Parameters:
-
eps learning rate factor_bias learning rate factor for bias learning
| OneLayerFFNN | ( | double | eps, | |
| double | factor_bias, | |||
| ActivationFunction | actfun, | |||
| ActivationFunction | dactfun, | |||
| const std::string & | name = "OneLayerFFN", |
|||
| const std::string & | revision = "$Id: onelayerffnn.h,v 1.10 2011/05/30 13:52:54 martius Exp $" | |||
| ) | [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] |
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 unsigned int getOutputDim | ( | ) | const [inline, virtual] |
returns the number of output neurons
Implements AbstractModel.
| virtual const matrix::Matrix& getWeights | ( | ) | const [inline, virtual] |
| void init | ( | unsigned int | inputDim, | |
| unsigned int | outputDim, | |||
| double | unit_map = 0.0, |
|||
| RandGen * | randGen = 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.
| bool store | ( | FILE * | f | ) | const [virtual] |
stores the layer binary into file stream
Implements Storeable.
The documentation for this class was generated from the following files:
