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SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--java.rmi.server.RemoteObject | +--java.rmi.server.RemoteServer | +--java.rmi.server.UnicastRemoteObject | +--com.ibm.able.AbleObject | +--com.ibm.able.beans.AbleNetwork | +--com.ibm.able.beans.AbleTemporalDifferenceLearning
Temporal Difference Learning Model Programmer: Joe Bigus Created: 8/28/2000 Change Log:
Fields inherited from class com.ibm.able.beans.AbleNetwork |
activations,
breakPointFlag,
breakPoints,
inNum,
lastBreakPoint,
MODE_NAMES,
netArchitecture,
netEpoch,
netMode,
netModelType,
netRecInx,
netStepsPerEpoch,
NNRUN,
NNTEST,
NNTRAIN,
outNum |
Fields inherited from class com.ibm.able.AbleObject |
changed,
chgSupport,
comment,
dataFlowEnabled,
destBufferConnections,
eventQueue,
fileName,
inputBuffer,
listeners,
logger,
name,
outputBuffer,
parent,
propertyConnectionMgr,
sourceBufferConnections,
state,
stateChgSupport |
Fields inherited from class java.rmi.server.RemoteObject |
ref |
Constructor Summary | |
AbleTemporalDifferenceLearning()
default constructor |
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AbleTemporalDifferenceLearning(java.lang.String aName)
default constrcutor with a name |
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AbleTemporalDifferenceLearning(java.lang.String aName,
java.lang.String args)
construct a back prop network with specified name and architecture |
Method Summary | |
void |
changeNetArchitecture(java.lang.String parms)
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void |
createNetwork(int NumIn,
int NumHid1,
int NumHid2,
int NumHid3,
int NumOut,
int FeedbackType)
create a Back Propagation network with the specified architecture |
void |
endEpoch()
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double[] |
getActivations()
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double |
getAveRMSError()
return the average RMS error |
double |
getAvgRMSError()
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double |
getBadPatRatio()
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double |
getDecayFactor()
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double[] |
getError()
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int |
getFeedbackType()
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double |
getGamma()
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double |
getLambda()
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double |
getLastRMSError()
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double |
getLearnRate()
return the learn rate parameter |
double |
getMaxRMSError()
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double |
getMomentum()
return the momentum parameter |
java.lang.String |
getNetArchitecture()
get the network architecture as specified by the user |
java.util.Vector |
getNetworkGraphicData()
return data on the network architecture, activations, and weights for display by the AbleNetworkGraphicView custom inspector |
int |
getNumHidden1()
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int |
getNumHidden2()
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int |
getNumHidden3()
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int |
getNumInputs()
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int |
getNumOutputs()
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int |
getNumUnits()
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int |
getNumWeights1()
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int |
getNumWeights2()
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int |
getNumWeights3()
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int |
getNumWeights4()
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double |
getPatternType()
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double |
getPercentCorrect()
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double |
getPercentIncorrect()
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double |
getPercentUnknown()
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double |
getReinforcement()
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double[] |
getTeach()
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double[] |
getThreshold()
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double |
getTolerance()
return the error tolerance parameter |
double[] |
getWeights1()
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double[] |
getWeights2()
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double[] |
getWeights3()
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double[] |
getWeights4()
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double[] |
getWgtDeriv1()
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double[] |
getWgtDeriv2()
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double[] |
getWgtDeriv3()
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double[] |
getWgtDeriv4()
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boolean |
isAdaptLearnRate()
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boolean |
isEpochUpdate()
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boolean |
isExplicitErrorMode()
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boolean |
isSymmetricActFunction()
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void |
process()
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void |
readInputs()
move data from the train/test set into the network input units and the teach array |
void |
reset()
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void |
setAdaptLearnRate(boolean state)
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void |
setDecayFactor(double factor)
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void |
setEpochUpdate(boolean state)
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void |
setExplicitErrorMode(boolean state)
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void |
setGamma(double gamma)
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void |
setLambda(double lambda)
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void |
setLearnRate(double newVal)
set the learn rate parameter |
void |
setMomentum(double newVal)
set the momentum parameter |
void |
setNetArchitecture(java.lang.String arch)
Set the back propagation network architecture The architecture string is a sequence of space-delimited integers as follows: numInput numHid1 numHid2 numHid3 numOutput feedbackType Note if feedbackType is not specified, it will be set to 0 |
void |
setPatternType(double type)
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void |
setReinforcement(double reinforce)
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void |
setSymmetricActFunction(boolean state)
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void |
setTolerance(double newVal)
set the error tolerance parameter |
Methods inherited from class com.ibm.able.beans.AbleNetwork |
breakPointReached,
clearAllBreakPoints,
clearBreakPoint,
clearBreakPoint,
clearLastBreakPoint,
getLastBreakPoint,
getNetEpoch,
getNetMode,
getNetRecInx,
getNetStepsPerEpoch,
init,
setBreakPoint,
setNetMode,
setNetStepsPerEpoch,
testBreakPoints |
Methods inherited from class java.rmi.server.UnicastRemoteObject |
clone,
exportObject,
exportObject,
exportObject,
unexportObject |
Methods inherited from class java.rmi.server.RemoteServer |
getClientHost,
getLog,
setLog |
Methods inherited from class java.rmi.server.RemoteObject |
equals,
getRef,
hashCode,
toStub |
Methods inherited from class java.lang.Object |
finalize,
getClass,
notify,
notifyAll,
wait,
wait,
wait |
Constructor Detail |
public AbleTemporalDifferenceLearning() throws java.rmi.RemoteException
public AbleTemporalDifferenceLearning(java.lang.String aName) throws java.rmi.RemoteException
public AbleTemporalDifferenceLearning(java.lang.String aName, java.lang.String args) throws java.rmi.RemoteException
Method Detail |
public int getNumInputs()
public int getNumHidden1()
public int getNumHidden2()
public int getNumHidden3()
public int getNumOutputs()
public int getNumUnits()
public int getNumWeights1()
public int getNumWeights2()
public int getNumWeights3()
public int getNumWeights4()
public boolean isExplicitErrorMode()
public void setExplicitErrorMode(boolean state)
public boolean isAdaptLearnRate()
public void setAdaptLearnRate(boolean state)
public boolean isEpochUpdate()
public void setEpochUpdate(boolean state)
public boolean isSymmetricActFunction()
public void setSymmetricActFunction(boolean state)
public int getFeedbackType()
public double getDecayFactor()
public void setDecayFactor(double factor)
public double getAvgRMSError()
public double getLastRMSError()
public double getMaxRMSError()
public double getBadPatRatio()
public void setLambda(double lambda)
public double getLambda()
public void setGamma(double gamma)
public double getGamma()
public void setReinforcement(double reinforce)
public double getReinforcement()
public void setPatternType(double type)
public double getPatternType()
public void setLearnRate(double newVal)
public double getLearnRate()
public void setMomentum(double newVal)
public double getPercentCorrect()
public double getPercentIncorrect()
public double getPercentUnknown()
public double getMomentum()
public void setTolerance(double newVal)
public double getTolerance()
public double getAveRMSError()
public double[] getActivations()
public double[] getWeights1()
public double[] getWeights2()
public double[] getWeights3()
public double[] getWeights4()
public double[] getWgtDeriv1()
public double[] getWgtDeriv2()
public double[] getWgtDeriv3()
public double[] getWgtDeriv4()
public double[] getThreshold()
public double[] getTeach()
public double[] getError()
public java.lang.String getNetArchitecture()
public void reset() throws java.rmi.RemoteException
public void readInputs() throws java.rmi.RemoteException
public void process() throws java.rmi.RemoteException
public void endEpoch()
public void changeNetArchitecture(java.lang.String parms) throws java.rmi.RemoteException
public void createNetwork(int NumIn, int NumHid1, int NumHid2, int NumHid3, int NumOut, int FeedbackType) throws java.rmi.RemoteException
public void setNetArchitecture(java.lang.String arch) throws java.rmi.RemoteException
arch
- A string that defines the network architecturepublic java.util.Vector getNetworkGraphicData()
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ABLE, Version 1.1b | |||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |