/*
* Artificial Intelligence for Humans
* Volume 1: Fundamental Algorithms
* Java Version
* http://www.aifh.org
* http://www.jeffheaton.com
*
* Code repository:
* https://github.com/jeffheaton/aifh
* Copyright 2013 by Jeff Heaton
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package com.heatonresearch.aifh.general.fns;
/**
* The Inverse Multiquadric Radial Basis Function.
* <p/>
* http://en.wikipedia.org/wiki/Radial_basis_function
*/
public class InverseMultiquadricFunction extends AbstractRBF {
/**
* Construct the Inverse Multiquadric RBF. Each RBF will require space equal to (dimensions + 1) in the
* params vector.
*
* @param theDimensions The number of dimensions.
* @param theParams A vector to hold the parameters.
* @param theIndex The index into the params vector. You can store multiple RBF's in a vector.
*/
public InverseMultiquadricFunction(final int theDimensions, final double[] theParams, final int theIndex) {
super(theDimensions, theParams, theIndex);
}
/**
* {@inheritDoc}
*/
@Override
public double evaluate(final double[] x) {
double value = 0;
final double width = getWidth();
for (int i = 0; i < getDimensions(); i++) {
final double center = getCenter(i);
value += Math.pow(x[i] - center, 2) + (width * width);
}
return 1 / Math.sqrt(value);
}
}