otTinn Class Reference
[Neural Network - Neural network library, Neural Network - Neural network library]

Class for neural network.

#include <otNeuralNetwork.h>

Public Member Functions
	otTinn ()
bool	init (int nips, int nops, int nhid, otFILE *fs)
void	close ()
float *	predict (const float *in)
float	train (const float *in, const float *tg, float rate)
bool	save (const char *path)
bool	load (const char *path)
void	print (const float *arr, const int size)
void	properties (int &nips, int &nops, int &nhid)

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Constructor & Destructor Documentation

otTinn.otTinn (   )

Create the class

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Member Function Documentation

void otTinn.close (   )

Free all allocated resources

bool otTinn.init (  int  nips, int  nops, int  nhid, otFILE *  fs )

Init neural network Parameters: nips  Number of inputs to neural network nops  Number of outputs of the neural network nhid  Number of hidden layers of the neural network fs  Pointer to the class for file system access Returns: True on init success

bool otTinn.load (  const char *  path  )

Loads a otTinn from disk. Parameters: path  File name and related path of neural network will be loaded Returns: True on loading success

float* otTinn.predict (  const float *  in  )

Returns an output prediction given an input. Parameters: in  Input pattern Returns: The array of prediction

void otTinn.print (  const float *  arr, const int  size )

Prints an array of floats. Useful for printing predictions. Parameters: arr  Array to print size  Size of the array to print

void otTinn.properties (  int &  nips, int &  nops, int &  nhid )

Read properties of the neural network. Parameters: nips  Number of inputs nops  Number of outputs nhid  Number of hidden layers

bool otTinn.save (  const char *  path  )

Saves a otTinn to disk. Parameters: path  File name and related path where neural network will be saved Returns: True on save success

float otTinn.train (  const float *  in, const float *  tg, float  rate )

Trains a otTinn with an input and target output with a learning rate. Parameters: in  Training pattern tg  Target pattern rate  Learning rate Returns: target to output error.

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

• otNeuralNetwork.h

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