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java.lang.Objectorg.encog.neural.flat.FlatNetwork
org.encog.neural.flat.FlatNetworkRBF
public class FlatNetworkRBF
A flat network designed to handle an RBF.
Field Summary |
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Fields inherited from class org.encog.neural.flat.FlatNetwork |
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DEFAULT_BIAS_ACTIVATION, NO_BIAS_ACTIVATION |
Constructor Summary | |
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FlatNetworkRBF()
Default constructor. |
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FlatNetworkRBF(int inputCount,
int hiddenCount,
int outputCount,
RadialBasisFunction[] rbf)
Construct an RBF flat network. |
Method Summary | |
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FlatNetworkRBF |
clone()
Clone the network. |
void |
compute(double[] x,
double[] output)
Calculate the output for the given input. |
RadialBasisFunction[] |
getRBF()
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void |
setRBF(RadialBasisFunction[] rbf)
Set the RBF's used. |
Methods inherited from class java.lang.Object |
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equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public FlatNetworkRBF()
public FlatNetworkRBF(int inputCount, int hiddenCount, int outputCount, RadialBasisFunction[] rbf)
inputCount
- The number of input neurons. (also the number of dimensions)hiddenCount
- The number of hidden neurons.outputCount
- The number of output neurons.rbf
- The radial basis functions to use.Method Detail |
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public FlatNetworkRBF clone()
clone
in class FlatNetwork
public void compute(double[] x, double[] output)
compute
in class FlatNetwork
x
- The input.output
- Output will be placed here.public void setRBF(RadialBasisFunction[] rbf)
rbf
- The RBF's used.public RadialBasisFunction[] getRBF()
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