Property | Type | Description | |
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ComputeF1 | void | ||
ComputeF2 | void | ||
GetOutput | void |
Method | Description | |
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ART1 ( ) : System |
Default constructor, used mainly for persistence.
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ART1 ( int theF1Count, int theF2Count ) : System |
Construct the ART1 network.
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AdjustWeights ( ) : void |
Adjust the weights for the pattern just presented.
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Classify ( IMLData input ) : int |
Classify the input data to a class number.
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Compute ( IMLData input ) : IMLData |
Compute the output for the BasicNetwork class.
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Compute ( |
Compute the output from the ART1 network. This can be called directly or used by the BasicNetwork class. Both input and output should be bipolar numbers.
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Magnitude ( |
Get the magnitude of the specified input.
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Reset ( ) : void |
Reset the weight matrix back to starting values.
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Reset ( int seed ) : void |
Reset with a specic seed.
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Method | Description | |
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ComputeF1 ( |
Compute the output from the F1 layer.
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ComputeF2 ( ) : void |
Compute the output from the F2 layer.
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GetOutput ( |
Copy the output from the network to another object.
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public ART1 ( int theF1Count, int theF2Count ) : System | ||
theF1Count | int | The neuron count for the f1 layer. |
theF2Count | int | The neuron count for the f2 layer. |
return | System |
public Classify ( IMLData input ) : int | ||
input | IMLData | The input data. |
return | int |
public Compute ( IMLData input ) : IMLData | ||
input | IMLData | The input to the network. |
return | IMLData |
public Compute ( |
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input | The input to the network. | |
output | The output from the network. | |
return | void |
public Magnitude ( |
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input | The input to calculate the magnitude for. | |
return | double |