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java.lang.Objectorg.joone.engine.Synapse
org.joone.engine.FullSynapse
org.joone.engine.SangerSynapse
public class SangerSynapse
This is the synapse useful to extract the principal components from an input data set. This synapse implements the so called Sanger PCA algorithm.
| Field Summary |
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| 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 | |
|---|---|
SangerSynapse()
Creates a new instance of SangerSynapse |
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| Method Summary | |
|---|---|
protected void |
backward(double[] pattern)
Training Function |
Learner |
getLearner()
Deprecated. - Used only for backward compatibility |
| Methods inherited from class org.joone.engine.FullSynapse |
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forward, setArrays, setDimensions |
| Methods inherited from class org.joone.engine.Synapse |
|---|
addNoise, canCountSteps, check, fwdGet, fwdPattern_consume, fwdPattern_produce, fwdPut, getCount, getFwdLock, getIgnoreBefore, getInputDimension, getLearningRate, getMomentum, getMonitor, getName, getOutputDimension, getRevLock, getSynapseNameSafely, getWeights, init, initLearner, InspectableTitle, Inspections, isEnabled, isInputFull, isLoopBack, isOutputFull, randomize, readResolve, reset, revGet, revPattern_consume, revPattern_produce, revPut, setEnabled, setIgnoreBefore, setInputDimension, setInputFull, setLearningRate, setLoopBack, setMomentum, setMonitor, 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 |
| Methods inherited from interface org.joone.engine.LearnableSynapse |
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getInputDimension, getLearningRate, getMomentum, getOutputDimension, getWeights, setWeights |
| Methods inherited from interface org.joone.engine.Learnable |
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getMonitor, initLearner |
| Constructor Detail |
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public SangerSynapse()
| Method Detail |
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protected void backward(double[] pattern)
backward in class FullSynapsepattern - double[] - Input pattern used to calculate the weight's modificationspublic Learner getLearner()
Synapse
getLearner in interface LearnablegetLearner in class FullSynapseLearnable.getLearner()
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