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java.lang.Objectorg.joone.engine.Synapse
org.joone.engine.learning.AbstractTeacherSynapse
org.joone.engine.learning.TeacherSynapse
org.joone.engine.learning.FahlmanTeacherSynapse
public class FahlmanTeacherSynapse
This class extends the normal Teacher synapse and implements the Fahlman 40-20-40 criterion (the values can be changed). This teacher makes only sense in case of binary outputs.
In case of the default values (40-20-40) and considering [0,1] binary outputs the criterion is fullfilled if for all patterns the output is - within [0, 0.4] in case the desired output is 0 - within [0.6, 1] in case the desired output is 1.
More about this criterion can be found at
http://citeseer.ist.psu.edu/fahlman88empirical.html
.
Field Summary | |
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static java.lang.String |
CRITERION
Constant to indicate (key) the parameter for checking (in the monitor object) if the criterion has been forfilled or not. |
protected static ILogger |
log
Logger |
Fields inherited from class org.joone.engine.learning.TeacherSynapse |
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GlobalError |
Fields inherited from class org.joone.engine.learning.AbstractTeacherSynapse |
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currEpoch, desired, error, lastErrorPatternReady, net |
Fields inherited from class org.joone.engine.Synapse |
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array, b_pattern, bitems, bouts, count, enabled, fwdLock, inps, items, learnable, m_batch, m_pattern, myLearner, outs, revLock |
Constructor Summary | |
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FahlmanTeacherSynapse()
Creates a new instance of FahlmanTeacherSynapse |
Method Summary | |
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double |
calculateError(double aDesired,
double anOutput,
int anIndex)
Calculates the error to be backpropaged for a single output neuron. |
double |
getLowerBit()
Gets the lower bit value. |
double |
getLowerBitPercentage()
Gets the lower bit percentage. |
double |
getUpperBit()
Gets the upper bit value. |
double |
getUpperBitPercentage()
Gets the upper bit percentage. |
void |
setLowerBit(double aValue)
Sets the lower bit. |
void |
setLowerBitPercentage(double aValue)
Sets the lower bit percentage. |
void |
setUpperBit(double aValue)
Sets the upper bit. |
void |
setUpperBitPercentage(double aValue)
Sets the upper bit percentage. |
Methods inherited from class org.joone.engine.learning.TeacherSynapse |
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calculateGlobalError, fwdPut |
Methods inherited from class org.joone.engine.learning.AbstractTeacherSynapse |
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backward, check, constructErrorPattern, epochFinished, forward, fwdGet, getDesired, getLastErrorPattern, getSeenPatterns, incSeenPatterns, init, isFirstTime, isLastErrorPatternReady, netStoppedError, pushError, readResolve, reset, resetInput, revGet, revPut, setArrays, setDesired, setDimensions, setFirstTime, setInputDimension, setMonitor, setSeenPatterns, stopTheNet |
Methods inherited from class org.joone.engine.Synapse |
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addNoise, canCountSteps, fwdPattern_consume, fwdPattern_produce, getCount, getFwdLock, getIgnoreBefore, getInputDimension, getLearner, getLearningRate, getMomentum, getMonitor, getName, getOutputDimension, getRevLock, getSynapseNameSafely, getWeights, initLearner, InspectableTitle, Inspections, isEnabled, isInputFull, isLoopBack, isOutputFull, randomize, revPattern_consume, revPattern_produce, setEnabled, setIgnoreBefore, setInputFull, setLearningRate, setLoopBack, setMomentum, setName, setOutputDimension, setOutputFull, setWeights, warnLogger, warnLogger |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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public static final java.lang.String CRITERION
protected static final ILogger log
Constructor Detail |
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public FahlmanTeacherSynapse()
Method Detail |
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public void setUpperBit(double aValue)
aValue
- sets the upper bit to aValue
.public double getUpperBit()
public void setLowerBit(double aValue)
aValue
- sets the lower bit to aValue
.public double getLowerBit()
public void setUpperBitPercentage(double aValue)
aValue
- sets the upper bit percentage to aValue
.public double getUpperBitPercentage()
public void setLowerBitPercentage(double aValue)
aValue
- sets the lower bit percentage to aValue
.public double getLowerBitPercentage()
public double calculateError(double aDesired, double anOutput, int anIndex)
AbstractTeacherSynapse
calculateError
in class TeacherSynapse
aDesired
- the desired outputanOutput
- the actual output of a single neuronanIndex
- the index of the output neuron
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