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java.lang.ObjectSciLib.Neuro.Nnet
SciLib.Neuro.Adaline
public class Adaline
This class defines An Adaline Network.
| Field Summary |
|---|
| Fields inherited from class SciLib.Neuro.Nnet |
|---|
averageError, DesiredOutputMatrix, errorThreshold, g, hidden, hiddenSize, inSize, learningRate, momentum, numberOfHiddenLayers, NumberOfTestPatterns, NumberOfTrainingPatterns, output, outSize, testingData, testingDesiredOutput, trainingData, trainingDesiredOutput |
| Constructor Summary | |
|---|---|
Adaline(int is,
Activation phi)
Make an Adeline network with specific size and activation function |
|
| Method Summary | |
|---|---|
double |
computeOutput(vector x)
Compute output |
void |
setup()
|
java.lang.String |
testing()
Testing an Adaline network |
void |
training(double epsi,
double eta)
Training an Adaline network |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public Adaline(int is,
Activation phi)
is - An integer value, the input sizephi - An Activation object| Method Detail |
|---|
public void setup()
public double computeOutput(vector x)
public void training(double epsi,
double eta)
epsi - The tolerance erroreta - The learning ratepublic java.lang.String testing()
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