org.cognity.neural.layer

Interface TransferLayer

All Superinterfaces:

Layer

All Known Implementing Classes:

GenericTransferLayer

public interface TransferLayer
extends Layer

The transfer layer is a basic model of a layer, that processes data in a neural network. The output of each neuron in such layer is described by the following formula:

where:

• is the neuron's output
• is a weighted k-th input of the neuron
• is the neuron's bias
• is the transfer function of the layer (all neurons in the layer share the same transfer function).

Author:

Artur Markiewicz

Method Summary

Methods

Modifier and Type	Method and Description
double	getBias(int neuron) Returns the bias value of the specified neuron.
Function	getTransferFunc() Returns the transfer function of this layer.
void	setBias(int neuron, double value) Sets the bias value for the specified neuron.
void	setTransferFunc(Function function) Sets the transfer function for this layer.

Methods inherited from interface org.cognity.neural.layer.Layer

activate, getInput, getNeuronCount, getOutput, init, stimulate

Method Detail

setBias

void setBias(int neuron,
           double value)

Sets the bias value for the specified neuron.

Parameters:

neuron - the index of the neuron

value - the bias value

getBias

double getBias(int neuron)

Returns the bias value of the specified neuron.

Parameters:

neuron - the index of the neuron

Returns:

the bias value

setTransferFunc

void setTransferFunc(Function function)

Sets the transfer function for this layer.

Parameters:

function - the transfer function

getTransferFunc

Function getTransferFunc()

Returns the transfer function of this layer.

Returns:

the transfer function of this layer