org.encog.mathutil.randomize
Class GaussianRandomizer
java.lang.Object
org.encog.mathutil.randomize.BasicRandomizer
org.encog.mathutil.randomize.GaussianRandomizer
- All Implemented Interfaces:
- Randomizer
public class GaussianRandomizer
- extends BasicRandomizer
Generally, you will not want to use this randomizer as a pure neural network
randomizer. More on this later in the description.
Generate random numbers that fall within a Gaussian curve. The mean
represents the center of the curve, and the standard deviation helps
determine the length of the curve on each side.
This randomizer is used mainly for special cases where I want to generate
random numbers in a Gaussian range. For a pure neural network initializer, it
leaves much to be desired. However, it can make for a decent randomizer.
Usually, the Nguyen Widrow randomizer performs better.
Uses the "Box Muller" method.
http://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform
Ported from C++ version provided by Everett F. Carter Jr., 1994
Constructor Summary |
GaussianRandomizer(double mean,
double standardDeviation)
Construct a Gaussian randomizer. |
Method Summary |
double |
boxMuller(double m,
double s)
Compute a Gaussian random number. |
double |
randomize(double d)
Generate a random number. |
Methods inherited from class org.encog.mathutil.randomize.BasicRandomizer |
getRandom, nextDouble, nextDouble, randomize, randomize, randomize, randomize, randomize, randomize, setRandom, setSeed |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
GaussianRandomizer
public GaussianRandomizer(double mean,
double standardDeviation)
- Construct a Gaussian randomizer. The mean, the standard deviation.
- Parameters:
mean
- The mean.standardDeviation
- The standard deviation.
boxMuller
public double boxMuller(double m,
double s)
- Compute a Gaussian random number.
- Parameters:
m
- The mean.s
- The standard deviation.
- Returns:
- The random number.
randomize
public double randomize(double d)
- Generate a random number.
- Parameters:
d
- The input value, not used.
- Returns:
- The random number.
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