3lnn.h File Reference

Neural network functionality for a 3-layer (INPUT, HIDDEN, OUTPUT) feed-forward, back-prop NN. More...

Go to the source code of this file.

Data Structures
struct	Vector
	Dynamic data structure containing defined number of values. More...
struct	Node
	Dynamic data structure modeling a neuron with a variable number of connections/weights. More...
struct	Layer
	Dynamic data structure holding a definable number of nodes that form a layer. More...
struct	Network
	Dynamic data structure holding the whole network. More...

Typedefs
typedef struct Network	Network
typedef struct Layer	Layer
typedef struct Node	Node
typedef struct Vector	Vector
typedef enum LayerType	LayerType
typedef enum ActFctType	ActFctType

Enumerations
enum	LayerType { INPUT, HIDDEN, OUTPUT }
enum	ActFctType { SIGMOID, TANH }

Functions
Network *	createNetwork (int inpCount, int hidCount, int outCount)
	Creates a dynamically-sized, 3-layer (INTPUT, HIDDEN, OUTPUT) neural network. More...
void	feedInput (Network *nn, Vector *v)
	Feeds some Vector data into the INPUT layer of the NN. More...
void	feedForwardNetwork (Network *nn)
	Feeds input layer values forward to hidden to output layer (calculation and activation fct) More...
void	backPropagateNetwork (Network *nn, int targetClassification)
	Back propagates network error from output layer to hidden layer. More...
int	getNetworkClassification (Network *nn)
	Returns the network's classification using the ID of teh node with the hightest output. More...

Detailed Description

Neural network functionality for a 3-layer (INPUT, HIDDEN, OUTPUT) feed-forward, back-prop NN.

Author

Matt Lind

Date

August 2015

Definition in file 3lnn.h.

Typedef Documentation

typedef enum ActFctType ActFctType

typedef struct Layer Layer

Definition at line 13 of file 3lnn.h.

typedef enum LayerType LayerType

typedef struct Network Network

Definition at line 12 of file 3lnn.h.

typedef struct Node Node

Definition at line 14 of file 3lnn.h.

typedef struct Vector Vector

Definition at line 15 of file 3lnn.h.

Enumeration Type Documentation

enum ActFctType

Enumerator
SIGMOID
TANH

Definition at line 18 of file 3lnn.h.

enum LayerType

Enumerator
INPUT
HIDDEN
OUTPUT

Definition at line 17 of file 3lnn.h.

Function Documentation

void backPropagateNetwork	(	Network *	nn,
		int	targetClassification
	)

Back propagates network error from output layer to hidden layer.

Parameters

nn	A pointer to the NN
targetClassification	Correct classification (=label) of the input stream

Definition at line 206 of file 3lnn.c.

Network* createNetwork	(	int	inpCount,
		int	hidCount,
		int	outCount
	)

Creates a dynamically-sized, 3-layer (INTPUT, HIDDEN, OUTPUT) neural network.

Parameters

inpCount	Number of nodes in the INPUT layer
hidCount	Number of nodes in the HIDDEN layer
outCount	Number of nodes in the OUTPUT layer

Definition at line 505 of file 3lnn.c.

void feedForwardNetwork

(

Network *

nn

)

Feeds input layer values forward to hidden to output layer (calculation and activation fct)

Parameters

nn	A pointer to the NN

Definition at line 306 of file 3lnn.c.

void feedInput	(	Network *	nn,
		Vector *	v
	)

Feeds some Vector data into the INPUT layer of the NN.

Parameters

nn	A pointer to the NN
v	A pointer to a vector

Definition at line 320 of file 3lnn.c.

int getNetworkClassification

(

Network *

nn

)

Returns the network's classification using the ID of teh node with the hightest output.

Parameters

nn	A pointer to the NN

Definition at line 553 of file 3lnn.c.