com.ewasystems.dm.neural.nn
Class NeuralNetworkConfig

java.lang.Object
  |
  +--java.util.Dictionary
        |
        +--java.util.Hashtable
              |
              +--java.util.Properties
                    |
                    +--com.ewasystems.dm.AbstractEngineConfig
                          |
                          +--com.ewasystems.data.prep.DataPrepConfig
                                |
                                +--com.ewasystems.dm.neural.nn.NeuralNetworkConfig

All Implemented Interfaces:

java.lang.Cloneable, java.util.Map, java.io.Serializable

public class NeuralNetworkConfig

extends DataPrepConfig

Title: NeuralNetworkConfig

Description: Neural Network Configuration

Company: EWA Systems

Copyright: (c) 1998 - 2005

See Also:

Serialized Form

Inner classes inherited from class java.util.Map

java.util.Map.Entry

Field Summary

static java.lang.String	configName Configuration Type Name
static int	LEARNMODEBATCH Static Type Variable for BATCH Learning
static int	LEARNMODESEQUENTIAL Static Type Variable for SEQUENTIAL Learning

Fields inherited from class com.ewasystems.data.prep.DataPrepConfig

SAMPLE_EVENLY, SAMPLE_FIRST, SAMPLE_LAST, SAMPLE_RANDOM

Constructor Summary

NeuralNetworkConfig()
Bare Constructor

Method Summary

java.util.Properties	defaultConfiguration() Returns the Default Neural Network Properties
int	getLearningMode() Gets the Learning Mode
float	getLearningMomentum() Gets the Learning Momentum
float	getLearningRate() Gets the Learning Rate
float	getLearningRelaxation() Gets the Learning Relaxation
int	getLearningRelaxationPeriod() Gets the Learning Relaxation Period
int	getLearningTestingPeriod() Gets the Learning Testing Period
float	getLearningWeightPenalty() Gets the Learning Weight Penalty
float	getStoppingError() Gets the Stopping Error
int	getStoppingMaxEpoch() Gets the Stopping Max Epoch
int	getStoppingMinEpoch() Gets the Stopping Min Epoch
void	readConfiguration() Imports/Updates the Configuration
void	report() Sends Text Report of Current Configuration to VDXError via Debug Messages
void	setLearningMode(int learningMode) Sets the Learning Mode (Mode in (BATCH or SEQUENTIAL)
void	setLearningMomentum(float learningMomentum) Sets the Learning Momentum (0 <= Float < 1)
void	setLearningRate(float learningRate) Sets the Learning Rate (0 < Float < 1)
void	setLearningRelaxation(float learningRelaxation) Sets the Learning Relaxation (0 <= Float < 1)
void	setLearningRelaxationPeriod(int learningRelaxationPeriod) Sets the Learning Relaxation Period (Integer > 1)
void	setLearningTestingPeriod(int learningTestingPeriod) Sets the Learning Testing Period (Integer > 1)
void	setLearningWeightPenalty(float learningWeightPenalty) Sets the Learning Weight Penalty (0 <= Float < 1)
void	setStoppingError(float stoppingError) Sets the Stopping Error (Float >= 0)
void	setStoppingMaxEpoch(int stoppingMaxEpoch) Sets the Stopping Epoch (Integer >= MinStoppingEpoc)
void	setStoppingMinEpoch(int stoppingMinEpoch) Sets the Stopping Epoch (Integer between 1 and StoppingMaxEpoch)

Methods inherited from class com.ewasystems.data.prep.DataPrepConfig

getNumVFolds, getSubSampleSize, getSubSampleSizeBy, getTestingProportion, getVFoldLimit, setNumVFolds, setSubSampleSize, setSubSampleSizeBy, setTestingProportion, setVFoldLimit

Methods inherited from class com.ewasystems.dm.AbstractEngineConfig

getConfigName, getMaxThreads, getRandomSeed, loadConfigFromFile, loadConfigFromProperties, setMaxThreads, setRandomSeed, storeConfigToFile

Methods inherited from class java.util.Properties

getProperty, getProperty, list, list, load, propertyNames, save, setProperty, store

Methods inherited from class java.util.Hashtable

clear, clone, contains, containsKey, containsValue, elements, entrySet, equals, get, hashCode, isEmpty, keys, keySet, put, putAll, remove, size, toString, values

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Field Detail

configName

public static final java.lang.String configName

Configuration Type Name

LEARNMODEBATCH

public static final int LEARNMODEBATCH

Static Type Variable for BATCH Learning

LEARNMODESEQUENTIAL

public static final int LEARNMODESEQUENTIAL

Static Type Variable for SEQUENTIAL Learning

Constructor Detail

NeuralNetworkConfig

public NeuralNetworkConfig()

Bare Constructor

See Also:

AbstractEngineConfig

Method Detail

defaultConfiguration

public java.util.Properties defaultConfiguration()

Returns the Default Neural Network Properties

• NNLearningRate = 0.3
• NNLearningMomentum = 0.3
• NNLearningWeightPenalty = 0.0
• NNLearningRelaxation = 0.99
• NNLearningRelaxationPeriod = 50
• NNLearningTestingPeriod = 50
• NNLearningMode = 0 (BATCH)
• NNStoppingMinEpoch = 1000
• NNStoppingMaxEpoch = 10000
• NNStoppingError = 0.001

Overrides:

defaultConfiguration in class DataPrepConfig

getLearningMode

public int getLearningMode()

Gets the Learning Mode

getLearningMomentum

public float getLearningMomentum()

Gets the Learning Momentum

getLearningRate

public float getLearningRate()

Gets the Learning Rate

getLearningRelaxation

public float getLearningRelaxation()

Gets the Learning Relaxation

getLearningRelaxationPeriod

public int getLearningRelaxationPeriod()

Gets the Learning Relaxation Period

getLearningTestingPeriod

public int getLearningTestingPeriod()

Gets the Learning Testing Period

getLearningWeightPenalty

public float getLearningWeightPenalty()

Gets the Learning Weight Penalty

getStoppingError

public float getStoppingError()

Gets the Stopping Error

getStoppingMaxEpoch

public int getStoppingMaxEpoch()

Gets the Stopping Max Epoch

getStoppingMinEpoch

public int getStoppingMinEpoch()

Gets the Stopping Min Epoch

readConfiguration

public void readConfiguration()

Imports/Updates the Configuration

Overrides:

readConfiguration in class DataPrepConfig

report

public void report()

Sends Text Report of Current Configuration to VDXError via Debug Messages

Overrides:

report in class DataPrepConfig

setLearningMode

public void setLearningMode(int learningMode)

Sets the Learning Mode (Mode in (BATCH or SEQUENTIAL)

Parameters:

learningMode - The Learning Mode

setLearningMomentum

public void setLearningMomentum(float learningMomentum)

Sets the Learning Momentum (0 <= Float < 1)

Parameters:

learningMomentum - The Learning Momentum

setLearningRate

public void setLearningRate(float learningRate)

Sets the Learning Rate (0 < Float < 1)

Parameters:

learningRate - The Learning Rate

setLearningRelaxation

public void setLearningRelaxation(float learningRelaxation)

Sets the Learning Relaxation (0 <= Float < 1)

Parameters:

learningRelaxation - The Learning Relaxation

setLearningRelaxationPeriod

public void setLearningRelaxationPeriod(int learningRelaxationPeriod)

Sets the Learning Relaxation Period (Integer > 1)

Parameters:

learningRelaxationPeriod - The Learning Relaxation Period

setLearningTestingPeriod

public void setLearningTestingPeriod(int learningTestingPeriod)

Sets the Learning Testing Period (Integer > 1)

Parameters:

learningTestingPeriod - The Learning Testing Period

setLearningWeightPenalty

public void setLearningWeightPenalty(float learningWeightPenalty)

Sets the Learning Weight Penalty (0 <= Float < 1)

Parameters:

learningWeightPenalty - The Learning Weight Penalty

setStoppingError

public void setStoppingError(float stoppingError)

Sets the Stopping Error (Float >= 0)

Parameters:

stoppingError - The Stopping Error

setStoppingMaxEpoch

public void setStoppingMaxEpoch(int stoppingMaxEpoch)

Sets the Stopping Epoch (Integer >= MinStoppingEpoc)

Parameters:

stoppingMaxEpoch - The Maximum Stopping Epoch

setStoppingMinEpoch

public void setStoppingMinEpoch(int stoppingMinEpoch)

Sets the Stopping Epoch (Integer between 1 and StoppingMaxEpoch)

Parameters:

stoppingMinEpoch - The Minimum Stopping Epoch