public class ConnNetwork extends Network
This is a Connectionist Network
Modifier and Type | Field and Description |
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boolean[][][] |
conns
Matrix containing the connections of the neural net.
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Constructor and Description |
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ConnNetwork(Parameters global)
Constructor that receives the parameters of the algorithm
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Modifier and Type | Method and Description |
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void |
BackPropagation(Parameters global,
int cycles,
double[][] data,
int npatterns)
Method that implements the backpropagation algorithm
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GenerateOutput, GenerateOutput, LoadNetwork, NetClassifyPattern, NetGetClassOfPattern, PrintWeights, SaveNetwork, SaveOutputFile, TestNetworkInClassification, TestNetworkInRegression, TrainNetwork, TrainNetworkWithCrossvalidation
public ConnNetwork(Parameters global)
Constructor that receives the parameters of the algorithm
global
- Parameters of the algorithmpublic void BackPropagation(Parameters global, int cycles, double[][] data, int npatterns)
Method that implements the backpropagation algorithm
global
- Parameters of the algorithmcycles
- Number of cyclesdata
- Data matrix filenpatterns
- Number of patterns in data