weka.classifiers.neural.singlelayerperceptron
Class Perceptron

java.lang.Object
  extended by weka.classifiers.Classifier
      extended by weka.classifiers.neural.common.WekaAlgorithmAncestor
          extended by weka.classifiers.neural.singlelayerperceptron.Perceptron
All Implemented Interfaces:
java.io.Serializable, java.lang.Cloneable, weka.core.OptionHandler, weka.core.WeightedInstancesHandler
Direct Known Subclasses:
WidrowHoff

public class Perceptron
extends WekaAlgorithmAncestor

Title: Weka Neural Implementation

Description: ...

Copyright: Copyright (c) 2003

Company: N/A

Version:
1.0
Author:
Jason Brownlee
See Also:
Serialized Form

Constructor Summary
Perceptron()
           
 
Method Summary
 weka.core.SelectedTag getLearningRateFunction()
           
 java.lang.String globalInfo()
           
 java.lang.String learningRateFunctionTipText()
           
static void main(java.lang.String[] args)
          Entry point into the algorithm for direct usage
 void setLearningRateFunction(weka.core.SelectedTag l)
           
 
Methods inherited from class weka.classifiers.neural.common.WekaAlgorithmAncestor
biasInputTipText, buildClassifier, distributionForInstance, getAllWeights, getBiasInput, getLearningRate, getOptions, getRandomNumberSeed, getTrainingIterations, learningRateTipText, listOptions, randomNumberSeedTipText, setBiasInput, setLearningRate, setOptions, setRandomNumberSeed, setTrainingIterations, toString, trainingIterationsTipText
 
Methods inherited from class weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

Perceptron

public Perceptron()
Method Detail

globalInfo

public java.lang.String globalInfo()
Specified by:
globalInfo in class WekaAlgorithmAncestor

learningRateFunctionTipText

public java.lang.String learningRateFunctionTipText()

setLearningRateFunction

public void setLearningRateFunction(weka.core.SelectedTag l)

getLearningRateFunction

public weka.core.SelectedTag getLearningRateFunction()

main

public static void main(java.lang.String[] args)
Entry point into the algorithm for direct usage

Parameters:
args -