Neuroph

org.neuroph.nnet
Class NeuroFuzzyReasoner

java.lang.Object
  extended by java.util.Observable
      extended by org.neuroph.core.NeuralNetwork
          extended by org.neuroph.nnet.NeuroFuzzyReasoner
All Implemented Interfaces:
java.io.Serializable, java.lang.Runnable

public class NeuroFuzzyReasoner
extends NeuralNetwork

The NeuroFuzzyReasoner class represents Neuro Fuzzy Reasoner architecture.

See Also:
Serialized Form

Field Summary
private static long serialVersionUID
          The class fingerprint that is set to indicate serialization compatibility with a previous version of the class.
 
Constructor Summary
NeuroFuzzyReasoner(double[][] pointsSets, double[][] timeSets)
           
NeuroFuzzyReasoner(int inputNum, java.util.Vector<java.lang.Integer> inputSets, int outNum)
           
 
Method Summary
private  void createNetwork(int inputNum, java.util.Vector<java.lang.Integer> inputSets, int outNum)
          Creates custom NFR architecture
private  void createStudentNFR(int inputNum, java.util.Vector<java.lang.Integer> inputSets, int outNum, double[][] pointsSets, double[][] timeSets)
           
 
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, 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
 

Field Detail

serialVersionUID

private static final long serialVersionUID
The class fingerprint that is set to indicate serialization compatibility with a previous version of the class.

See Also:
Constant Field Values
Constructor Detail

NeuroFuzzyReasoner

public NeuroFuzzyReasoner(double[][] pointsSets,
                          double[][] timeSets)

NeuroFuzzyReasoner

public NeuroFuzzyReasoner(int inputNum,
                          java.util.Vector<java.lang.Integer> inputSets,
                          int outNum)
Method Detail

createStudentNFR

private void createStudentNFR(int inputNum,
                              java.util.Vector<java.lang.Integer> inputSets,
                              int outNum,
                              double[][] pointsSets,
                              double[][] timeSets)

createNetwork

private void createNetwork(int inputNum,
                           java.util.Vector<java.lang.Integer> inputSets,
                           int outNum)
Creates custom NFR architecture

Parameters:
inputNum - number of getInputsIterator
inputSets - input fuzzy sets
outNum - number of outputs

Neuroph