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## org.neuroph.nnet
Class MaxNet

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

All Implemented Interfaces:
  java.io.Serializable, java.lang.Runnable

    public class MaxNet

extends NeuralNetwork

Max Net neural network with competitive learning rule.

See Also:
  Serialized Form

Constructor Summary
`MaxNet(int neuronsCount)` Creates new Maxnet network with specified neuron number

Method Summary

Methods inherited from class org.neuroph.core.NeuralNetwork
`addLayer, addLayer, addPlugin, calculate, createConnection, getInputNeurons, getLayerAt, getLayers, getLayersCount, getLayersIterator, getLearningRule, getNetworkType, getOutput, getOutputAsArray, getOutputNeurons, getPlugin, indexOf, learn, learnInNewThread, learnInNewThread, learnInSameThread, learnInSameThread, load, notifyChange, randomizeWeights, removeLayer, removeLayerAt, removePlugin, reset, run, save, setInput, setInput, setInputNeurons, 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

### MaxNet

    public MaxNet(int neuronsCount)

  Creates new Maxnet network with specified neuron number

  Parameters:
    `neuronsCount` - number of neurons in MaxNet network (same number in input and output layer)

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