Package | Description |
---|---|
org.encog.mathutil.rbf | |
org.encog.neural.pattern | |
org.encog.neural.rbf | |
org.encog.neural.som.training.basic.neighborhood |
Modifier and Type | Method and Description |
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static RBFEnum |
RBFEnum.valueOf(String name)
Returns the enum constant of this type with the specified name.
|
static RBFEnum[] |
RBFEnum.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
Modifier and Type | Method and Description |
---|---|
void |
RadialBasisPattern.setRBF(RBFEnum type) |
Modifier and Type | Method and Description |
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void |
RBFNetwork.randomizeRBFCentersAndWidths(double min,
double max,
RBFEnum t)
Set the RBF components to random values.
|
void |
RBFNetwork.setRBFCentersAndWidths(double[][] centers,
double[] widths,
RBFEnum t)
Array containing center position.
|
void |
RBFNetwork.setRBFCentersAndWidthsEqualSpacing(double minPosition,
double maxPosition,
RBFEnum t,
double volumeNeuronRBFWidth,
boolean useWideEdgeRBFs)
Equally spaces all hidden neurons within the n dimensional variable
space.
|
void |
RBFNetwork.setRBFFunction(int index,
RBFEnum t,
double[] centers,
double width)
Set an RBF function.
|
Constructor and Description |
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RBFNetwork(int inputCount,
int hiddenCount,
int outputCount,
RBFEnum t)
Construct RBF network.
|
Constructor and Description |
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NeighborhoodRBF(int[] size,
RBFEnum type)
Construct a multi-dimensional neighborhood function.
|
NeighborhoodRBF(RBFEnum type,
int x,
int y)
Construct a 2d neighborhood function based on the sizes for the
x and y dimensions.
|
NeighborhoodRBF1D(RBFEnum type)
Construct a 1d neighborhood function.
|
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