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## org.neuroph.nnet
Class Adaline

    java.lang.Object
      java.util.Observable
          org.neuroph.core.NeuralNetwork
              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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