Holger's
Java API

com.antelmann.ai
Class Perceptron

java.lang.Object
  extended by com.antelmann.ai.Perceptron
All Implemented Interfaces:
Serializable

public class Perceptron
extends Object
implements Serializable

Perceptron implements a simple pattern classifier. The Perceptron is an enhanced TLU (Threshold Logic Unit) based on the works by Rosenblatt (Rosenblatt, F. (1962). Principles of Neurodynamics. Spartan Books.). The given implementation here uses boolean values to enforce the duality of the values otherwise represented with 0 and 1. For the purpose of this implementation, false equals 0 and true equals 1. The Perceptron's capability of learning to distinguish two classes (here: not a Java class) of patterns is limited to classes that are linearly separable.

Author:
Holger Antelmann
See Also:
Serialized Form

Constructor Summary
Perceptron(int threshold, int numberOfInputs)
           
 
Method Summary
protected  Object clone()
          overrides Object.clone() to deep-copy the weight array
 boolean compute(boolean[] input)
           
 int getLength()
           
 int getThreshold()
           
 int getWeight(int index)
           
 void learn(boolean[] input, boolean result)
          learns a specified output given the input vector by adjusting the synapses (weights) if the result to be learned does not match the actual current output
static void main(String[] args)
          testing app
protected  void setThreshold(int threshold)
           
 
Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Perceptron

public Perceptron(int threshold,
                  int numberOfInputs)
Method Detail

compute

public boolean compute(boolean[] input)

learn

public void learn(boolean[] input,
                  boolean result)
learns a specified output given the input vector by adjusting the synapses (weights) if the result to be learned does not match the actual current output


setThreshold

protected void setThreshold(int threshold)

getThreshold

public int getThreshold()

getLength

public int getLength()

getWeight

public int getWeight(int index)

clone

protected Object clone()
                throws CloneNotSupportedException
overrides Object.clone() to deep-copy the weight array

Overrides:
clone in class Object
Throws:
CloneNotSupportedException

main

public static void main(String[] args)
testing app



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