org.neuroph.nnet
Class RbfNetwork
java.lang.Object
java.util.Observable
org.neuroph.core.NeuralNetwork
org.neuroph.nnet.RbfNetwork
- All Implemented Interfaces:
- java.io.Serializable, java.lang.Runnable
public class RbfNetwork
- extends NeuralNetwork
The RbfNetwork class represents Radial basis function neural network.
TODO: learning for rbf layer
- 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 |
RbfNetwork(int inputNeuronsNum,
int rbfNeuronsNum,
int outputNeuronsNum)
Creates new RbfNetwork with specified number of neurons in input, rbf and output layer |
Method Summary |
private void |
createNetwork(int inputNeuronsNum,
int rbfNeuronsNum,
int outputNeuronsNum)
Creates RbfNetwork architecture with specified number of neurons in input
layer, output layer and transfer function |
Methods inherited from class org.neuroph.core.NeuralNetwork |
addLayer, addLayer, addPlugin, calculate, createConnection, getInputNeurons, getLayerAt, getLayers, getLayersCount, getLayersIterator, getLearningRule, getNetworkType, getOutput, getOutputNeurons, getPlugin, indexOf, learn, load, notifyChange, randomizeWeights, removeLayer, removeLayerAt, removePlugin, reset, run, save, 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
RbfNetwork
public RbfNetwork(int inputNeuronsNum,
int rbfNeuronsNum,
int outputNeuronsNum)
- Creates new RbfNetwork with specified number of neurons in input, rbf and output layer
- Parameters:
inputNeuronsNum
- number of neurons in input layerrbfNeuronsNum
- number of neurons in rbf layeroutputNeuronsNum
- number of neurons in output layer
createNetwork
private void createNetwork(int inputNeuronsNum,
int rbfNeuronsNum,
int outputNeuronsNum)
- Creates RbfNetwork architecture with specified number of neurons in input
layer, output layer and transfer function
- Parameters:
inputNeuronsNum
- number of neurons in input layerrbfNeuronsNum
- number of neurons in rbf layeroutputNeuronsNum
- number of neurons in output layer