org.neuroph.nnet
Class NeuroFuzzyReasoner
java.lang.Object
java.util.Observable
org.neuroph.core.NeuralNetwork
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. |
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 |
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
NeuroFuzzyReasoner
public NeuroFuzzyReasoner(double[][] pointsSets,
double[][] timeSets)
NeuroFuzzyReasoner
public NeuroFuzzyReasoner(int inputNum,
java.util.Vector<java.lang.Integer> inputSets,
int outNum)
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 getInputsIteratorinputSets
- input fuzzy setsoutNum
- number of outputs