---

NN Class Reference

Multilayer perceptron Class. More...

#include <nn.h>

Inheritance diagram for NN:

List of all members.

Public Methods
void	calcresSpecial (float *inp)
void	printThresholds ()
void	printWeights ()
void	printActivations ()
void	saveNetwork (FILE *f)
void	Serialize (FILE *f)
void	Deserialize (FILE *f)
Public Attributes
int	nlevels
int	nnodes [MAXLEVEL]
float	wm [MAXLEVEL-1][MAXNODES][MAXNODES]
float	thresh [MAXLEVEL-1][MAXNODES]
float	activ [MAXLEVEL][MAXNODES]
int	nparams

---

Detailed Description

Multilayer perceptron Class.

This class provides an implementation of a multilayer perceptron. @TODO: More activation functions / a mechanism for different activation functions

Author:

soysal

Version:

0.1

---

Member Function Documentation

void NN::calcresSpecial (  float *    inp )

Similar to calcres this function calculates the activations on the network. BUT uses special rules to evaluate network. First the network is assumed to be single layer. And also two specific inputs and two specific outputs are identified. Inputs and outputs with smallest two indices are these special inputs and outputs. Special input are only connected to special outputs. Also the weights from first input is assured to be positive and positive/negative to outputs from second input respectively. ( [0,0]=+ [0,1]=+ [1,0]=+ [1,1]=-) Result is evaluated on this basis. Parameters: inp  input to be given to MLP. it is expected to be a vector of size 'nnodes[0]'

void NN::printActivations (    )

Prints activations at each level

void NN::printThresholds (    )

Prints thresholds

void NN::printWeights (    )

Prints weights

void NN::saveNetwork (  FILE *    f )

Saves network to 'f' in text format. 'f' is assumed to be open beforehand. 'f' is not closed afterwards. Parameters: f  an open text file that is writable

---

Member Data Documentation

float NN::activ[MAXLEVEL][MAXNODES]

activations at each level. First index is for level 'l' and second index is for nodes at level 'l'

int NN::nlevels

number of levels in the MLP

int NN::nnodes[MAXLEVEL]

number of nodes in each level

int NN::nparams

Calculates the activations on the network Parameters: inp  input to be given to MLP. it is expected to be a vector of size 'nnodes[0]'

float NN::thresh[MAXLEVEL-1][MAXNODES]

threshold matrix first index is for level 'l' and second index is for nodes at level 'l'

float NN::wm[MAXLEVEL-1][MAXNODES][MAXNODES]

weight matrix that holds weights first index is for level 'l' other indices stand for i and j respectively for the weights between nodes i and j in level 'l'

---

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

• nn.h

---