org.neuroph.nnet

Class BAM

java.lang.Object

org.neuroph.core.NeuralNetwork

org.neuroph.nnet.BAM

All Implemented Interfaces:

java.io.Serializable

public class BAM
extends NeuralNetwork

Bidirectional Associative Memory

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BAM(int inputNeuronsCount, int outputNeuronsCount) Creates an instance of BAM network with specified number of neurons in input and output layers.

Method Summary

Methods inherited from class org.neuroph.core.NeuralNetwork

addLayer, addLayer, addListener, addPlugin, calculate, createConnection, createFromFile, createFromFile, fireNetworkEvent, getInputNeurons, getInputsCount, getLabel, getLayerAt, getLayers, getLayersCount, getLearningRule, getNetworkType, getOutput, getOutputNeurons, getOutputsCount, getPlugin, getWeights, indexOf, isEmpty, learn, learn, load, load, pauseLearning, randomizeWeights, randomizeWeights, randomizeWeights, randomizeWeights, removeLayer, removeLayerAt, removeListener, removePlugin, reset, resumeLearning, save, setInput, setInputNeurons, setLabel, setLearningRule, setNetworkType, setOutputLabels, setOutputNeurons, setWeights, stopLearning, toString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

BAM

public BAM(int inputNeuronsCount,
           int outputNeuronsCount)

Creates an instance of BAM network with specified number of neurons in input and output layers.

Parameters:

inputNeuronsCount - number of neurons in input layer

outputNeuronsCount - number of neurons in output layer