org.neuroph.nnet
Class Adaline

java.lang.Object
  extended by java.util.Observable
      extended by org.neuroph.core.NeuralNetwork
          extended by org.neuroph.nnet.Adaline
All Implemented Interfaces:
Serializable

public class Adaline
extends NeuralNetwork

Adaline neural network architecture with LMS learning rule. Uses bias input, bipolar inputs [-1, 1] and ramp transfer function It can be also created using binary inputs and linear transfer function, but that dont works for some problems.

Author:
Zoran Sevarac
See Also:
Serialized Form

Field Summary
 
Fields inherited from class org.neuroph.core.NeuralNetwork
output
 
Constructor Summary
Adaline(int inputNeuronsCount)
          Creates new Adaline network with specified number of neurons in input layer
 
Method Summary
 
Methods inherited from class org.neuroph.core.NeuralNetwork
addLayer, addLayer, addPlugin, calculate, createConnection, getInputNeurons, getInputsCount, getLabel, getLayerAt, getLayers, getLayersCount, getLearningRule, getLearningThread, getNetworkType, getOutput, getOutputNeurons, getOutputsCount, getPlugin, indexOf, learn, learn, learnInNewThread, learnInNewThread, load, load, notifyChange, pauseLearning, randomizeWeights, randomizeWeights, randomizeWeights, randomizeWeights, removeLayer, removeLayerAt, removePlugin, reset, resumeLearning, save, setInput, setInputNeurons, setLabel, setLearningRule, setNetworkType, setOutputNeurons, stopLearning, toString
 
Methods inherited from class java.util.Observable
addObserver, clearChanged, countObservers, deleteObserver, deleteObservers, hasChanged, notifyObservers, notifyObservers, setChanged
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

Adaline

public Adaline(int inputNeuronsCount)
Creates new Adaline network with specified number of neurons in input layer

Parameters:
inputNeuronsCount - number of neurons in input layer


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