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Class berkeley.cs.dmc.neuralnet.FeedForwardNeuralNet 

java.lang.Object
   |
   +----berkeley.cs.dmc.neuralnet.FeedForwardNeuralNet
public class FeedForwardNeuralNet
extends Object

Variable Index

o BIAS_ACT
o RES
o TEST_RUNS
o TEST_UPDATE

Constructor Index

o FeedForwardNeuralNet(int, int, int, int)

Method Index

o activation(FeedForwardNeuralNet. Node, FeedForwardNeuralNet. Node[])
o backprop(double[], double[], double, double)
o backprop(double[], double[], double, double, double)
o clearlearn()
o clearlearnlayer(FeedForwardNeuralNet. Node[], int)
o deriv(double)
o evaluate(double[], double[])
o feedforward(double[])
o growNet(int)
o main(String[])
o numHidden()
o numInputs()
o numLayers()
o numOutputs()
o outputActFunc(PrintWriter)
o outputCode(PrintWriter, String, double[][])

Variables

o BIAS_ACT 
 public static final double BIAS_ACT
o TEST_RUNS 
 public static final int TEST_RUNS
o TEST_UPDATE 
 public static final int TEST_UPDATE
o RES 
 public static final int RES

Constructors

o FeedForwardNeuralNet 
 public FeedForwardNeuralNet(int in,
                             int layers,
                             int hid,
                             int out)

Methods

o numInputs 
 public int numInputs()
o numOutputs 
 public int numOutputs()
o numLayers 
 public int numLayers()
o numHidden 
 public int numHidden()
o growNet 
 public synchronized void growNet(int amt)
o activation 
 public static final double activation(FeedForwardNeuralNet. Node n,
                                       FeedForwardNeuralNet. Node inputs[])
o deriv 
 public static final double deriv(double act)
o evaluate 
 public synchronized void evaluate(double in[],
                                   double out[])
o feedforward 
 public synchronized void feedforward(double in[])
o clearlearnlayer 
 protected final void clearlearnlayer(FeedForwardNeuralNet. Node nodes[],
                                      int num)
o clearlearn 
 protected final void clearlearn()
o backprop 
 public final double backprop(double in[],
                              double target[],
                              double learning,
                              double deltaMax)
o backprop 
 public synchronized double backprop(double in[],
                                     double target[],
                                     double learning,
                                     double momentumWeight,
                                     double deltaMax)
o outputActFunc 
 public static void outputActFunc(PrintWriter out)
o outputCode 
 public synchronized void outputCode(PrintWriter out,
                                     String name,
                                     double outranges[][])
o main 
 public static void main(String argv[])

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