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java.lang.Objectorg.neuroph.core.transfer.TransferFunction
org.neuroph.core.transfer.Sigmoid
public class Sigmoid
Sigmoid neuron transfer function. output = 1/(1+ e^(-slope*input))
| Constructor Summary | |
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Sigmoid()
Creates an instance of Sigmoid neuron transfer function with default slope=1. |
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Sigmoid(double slope)
Creates an instance of Sigmoid neuron transfer function with specified value for slope parametar. |
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Sigmoid(java.util.Properties properties)
Creates an instance of Sigmoid neuron transfer function with the specified properties. |
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| Method Summary | |
|---|---|
double |
getDerivative(double net)
Returns the first derivative of this function. |
double |
getOutput(double net)
Returns the ouput of this function. |
double |
getSlope()
Returns the slope parametar of this function |
void |
setSlope(java.lang.Double slope)
Sets the slope parametar for this function |
| Methods inherited from class org.neuroph.core.transfer.TransferFunction |
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toString |
| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
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public Sigmoid()
public Sigmoid(double slope)
slope - the slope parametar for the sigmoid functionpublic Sigmoid(java.util.Properties properties)
properties - properties of the sigmoid function| Method Detail |
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public double getSlope()
public void setSlope(java.lang.Double slope)
slope - value for the slope parametarpublic double getOutput(double net)
TransferFunction
getOutput in class TransferFunctionnet - net inputpublic double getDerivative(double net)
TransferFunction
getDerivative in class TransferFunctionnet - net input
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