|
Neuroph | |||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | |||||||||
java.lang.Objectjava.util.Observable
org.neuroph.core.NeuralNetwork
org.neuroph.nnet.UnsupervisedHebbianNetwork
public class UnsupervisedHebbianNetwork
Hebbian neural network with unsupervised Hebbian learning algorithm.
| Constructor Summary | |
|---|---|
UnsupervisedHebbianNetwork(int inputNeuronsNum,
int outputNeuronsNum)
Creates an instance of Unsuervised Hebian net with specified number of neurons in input and output layer |
|
UnsupervisedHebbianNetwork(int inputNeuronsNum,
int outputNeuronsNum,
TransferFunctionType transferFunctionType)
Creates an instance of Unsuervised Hebian net with specified number of neurons in input layer and output layer, and transfer function |
|
| 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 |
|---|
public UnsupervisedHebbianNetwork(int inputNeuronsNum,
int outputNeuronsNum)
inputNeuronsNum - number of neurons in input layeroutputNeuronsNum - number of neurons in output layer
public UnsupervisedHebbianNetwork(int inputNeuronsNum,
int outputNeuronsNum,
TransferFunctionType transferFunctionType)
inputNeuronsNum - number of neurons in input layeroutputNeuronsNum - number of neurons in output layertransferFunctionType - transfer function type id
|
Neuroph | |||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | |||||||||