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java.lang.Objectorg.joone.engine.Layer
org.joone.engine.MemoryLayer
public abstract class MemoryLayer
Field Summary | |
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protected double[] |
backmemory
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protected double[] |
memory
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Fields inherited from class org.joone.engine.Layer |
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bias, gradientInps, gradientOuts, inps, inputPatternListeners, learnable, learning, m_batch, monitor, myLearner, outputPatternListeners, outs, running, step, STOP_FLAG |
Constructor Summary | |
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MemoryLayer()
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MemoryLayer(java.lang.String ElemName)
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Method Summary | |
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protected void |
backward(double[] pattern)
Reverse transfer function of the component. |
java.util.TreeSet |
check()
Get check messages from listeners. |
protected void |
forward(double[] pattern)
Transfer function to recall a result on a trained net |
int |
getDimension()
Returns the number of neurons contained in the layer |
int |
getTaps()
Return the taps value (06/04/00 1.08.26) |
protected void |
setDimensions()
Sets the dimension of the layer. |
protected void |
setOutputDimension(OutputPatternListener syn)
Sets the dimansion of the output (22/03/00 1.45.24) |
void |
setTaps(int newTaps)
Inserire qui la descrizione del metodo. |
protected void |
sumBackInput(double[] pattern)
Calculates the net input of the error gradents during the learning phase |
Methods inherited from class java.lang.Object |
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clone, equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Field Detail |
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protected double[] memory
protected double[] backmemory
Constructor Detail |
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public MemoryLayer()
public MemoryLayer(java.lang.String ElemName)
Method Detail |
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public int getDimension()
Layer
getDimension
in class Layer
public int getTaps()
protected void setDimensions()
Layer
setDimensions
in class Layer
protected void setOutputDimension(OutputPatternListener syn)
setOutputDimension
in class Layer
syn
- neural.engine.Synapsepublic void setTaps(int newTaps)
newTaps
- intprotected void sumBackInput(double[] pattern)
Layer
sumBackInput
in class Layer
pattern
- array of input valuesprotected void backward(double[] pattern)
backward
in class Layer
pattern
- double[] - input pattern on wich to apply the transfer functionprotected void forward(double[] pattern)
forward
in class Layer
pattern
- double[] - input patternpublic java.util.TreeSet check()
Layer
check
in interface NeuralLayer
check
in class Layer
NeuralLayer
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