org.encog.mathutil

Class Equilateral

java.lang.Object

org.encog.mathutil.Equilateral

All Implemented Interfaces:

java.io.Serializable

public class Equilateral
extends java.lang.Object
implements java.io.Serializable

Used to produce an array of activations to classify data into groups. This class is provided the number of groups, as well as the range that the activations should fall into.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static int	MIN_EQ The minimum number of fields to use equilateral encoding.

Constructor Summary

Constructors

Constructor and Description
Equilateral(int count, double high, double low) Construct an equilateral matrix.

Method Summary

Modifier and Type	Method and Description
int	decode(double[] activations) Decode a set of activations and see which set it has the lowest Euclidean distance from.
double[]	encode(int set) Get the activations for the specified set.
double	getDistance(double[] data, int set) Get the Euclidean distance between the specified data and the set number.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

MIN_EQ

public static final int MIN_EQ

The minimum number of fields to use equilateral encoding.

See Also:

Constant Field Values

Constructor Detail

Equilateral

public Equilateral(int count,
                   double high,
                   double low)

Construct an equilateral matrix.

Parameters:

count - The number of sets, these will be the rows in the matrix.

high - The high value for the outputs.

low - The low value for the outputs.

Method Detail

decode

public final int decode(double[] activations)

Decode a set of activations and see which set it has the lowest Euclidean distance from.

Parameters:

activations - The output from the neural network.

Returns:

The set that these activations were closest too.

encode

public final double[] encode(int set)

Get the activations for the specified set.

Parameters:

set - The set to determine the activations for.

Returns:

The activations for the specified sets.

getDistance

public final double getDistance(double[] data,
                                int set)

Get the Euclidean distance between the specified data and the set number.

Parameters:

data - The data to check.

set - The set to check.

Returns:

The distance.