| Package | Description |
|---|---|
| org.apache.commons.math3.ml.neuralnet |
Neural networks.
|
| org.apache.commons.math3.ml.neuralnet.oned |
One-dimensional neural networks.
|
| org.apache.commons.math3.ml.neuralnet.twod |
Two-dimensional neural networks.
|
| Modifier and Type | Method and Description |
|---|---|
static FeatureInitializer |
FeatureInitializerFactory.function(UnivariateFunction f,
double init,
double inc)
Creates an initializer from a univariate function
f(x). |
static FeatureInitializer |
FeatureInitializerFactory.randomize(RealDistribution random,
FeatureInitializer orig)
Adds some amount of random data to the given initializer.
|
static FeatureInitializer |
FeatureInitializerFactory.uniform(double min,
double max)
Uniform sampling of the given range.
|
static FeatureInitializer |
FeatureInitializerFactory.uniform(RandomGenerator rng,
double min,
double max)
Uniform sampling of the given range.
|
| Modifier and Type | Method and Description |
|---|---|
static FeatureInitializer |
FeatureInitializerFactory.randomize(RealDistribution random,
FeatureInitializer orig)
Adds some amount of random data to the given initializer.
|
| Constructor and Description |
|---|
NeuronString(int num,
boolean wrap,
FeatureInitializer[] featureInit)
Creates a one-dimensional network:
Each neuron not located on the border of the mesh has two
neurons linked to it.
|
| Constructor and Description |
|---|
NeuronSquareMesh2D(int numRows,
boolean wrapRowDim,
int numCols,
boolean wrapColDim,
SquareNeighbourhood neighbourhoodType,
FeatureInitializer[] featureInit)
Creates a two-dimensional network composed of square cells:
Each neuron not located on the border of the mesh has four
neurons linked to it.
|
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