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A
- activationFunction(double) - Method in class cx.ma.ai.ann.backprop.Neuron
- activationType - Variable in class cx.ma.ai.ann.backprop.Neuron
B
- BINARY_SIGMOID_ACTIVATION - Static variable in class cx.ma.ai.ann.backprop.Neuron
- BIPOLARY_SIGMOID_ACTIVATION - Static variable in class cx.ma.ai.ann.backprop.Neuron
- backwardPhase(double[]) - Method in class cx.ma.ai.ann.backprop.Net
- biasWeight - Variable in class cx.ma.ai.ann.backprop.Neuron
C
- calculateError() - Method in class cx.ma.ai.ann.backprop.Net
- calculateError(double) - Method in class cx.ma.ai.ann.backprop.Neuron
- calculateError(Layer, int) - Method in class cx.ma.ai.ann.backprop.Neuron
- calculateNet(Layer) - Method in class cx.ma.ai.ann.backprop.Neuron
- calculateNets(Layer) - Method in class cx.ma.ai.ann.backprop.Layer
- cx.ma.ai.ann.backprop - package cx.ma.ai.ann.backprop
D
- derivatedActivationFunction() - Method in class cx.ma.ai.ann.backprop.Neuron
E
F
- flatness - Variable in class cx.ma.ai.ann.backprop.Neuron
- forwardPhase(double[]) - Method in class cx.ma.ai.ann.backprop.Net
G
- getActivationType() - Method in class cx.ma.ai.ann.backprop.Neuron
- getBias() - Method in class cx.ma.ai.ann.backprop.Neuron
- getError() - Method in class cx.ma.ai.ann.backprop.Neuron
- getFlatness() - Method in class cx.ma.ai.ann.backprop.Neuron
- getIn() - Method in class cx.ma.ai.ann.backprop.Pattern
- getInput(int) - Method in class cx.ma.ai.ann.backprop.Pattern
- getLearningRate() - Method in class cx.ma.ai.ann.backprop.Net
- getNet() - Method in class cx.ma.ai.ann.backprop.Neuron
- getNeuron(int) - Method in class cx.ma.ai.ann.backprop.Layer
- getNoOfInputs() - Method in class cx.ma.ai.ann.backprop.Pattern
- getNoOfNeurons() - Method in class cx.ma.ai.ann.backprop.Layer
- getNoOfOutputs() - Method in class cx.ma.ai.ann.backprop.Pattern
- getNoOfWeights() - Method in class cx.ma.ai.ann.backprop.Neuron
- getOut() - Method in class cx.ma.ai.ann.backprop.Pattern
- getOutput() - Method in class cx.ma.ai.ann.backprop.Neuron
- getOutput(int) - Method in class cx.ma.ai.ann.backprop.Pattern
- getWeight(int) - Method in class cx.ma.ai.ann.backprop.Neuron
I
L
- LINEAR_ACTIVATION - Static variable in class cx.ma.ai.ann.backprop.Neuron
- Layer - class cx.ma.ai.ann.backprop.Layer.
- Layer(int, Layer, double, int) - Constructor for class cx.ma.ai.ann.backprop.Layer
- Layer(Layer) - Constructor for class cx.ma.ai.ann.backprop.Layer
- layers - Variable in class cx.ma.ai.ann.backprop.Net
- learningRate - Variable in class cx.ma.ai.ann.backprop.Net
N
- Net - class cx.ma.ai.ann.backprop.Net.
- Net(Layer[], double) - Constructor for class cx.ma.ai.ann.backprop.Net
- Neuron - class cx.ma.ai.ann.backprop.Neuron.
- Neuron(int) - Constructor for class cx.ma.ai.ann.backprop.Neuron
- Neuron(int, double, int) - Constructor for class cx.ma.ai.ann.backprop.Neuron
- Neuron(Neuron) - Constructor for class cx.ma.ai.ann.backprop.Neuron
- net - Variable in class cx.ma.ai.ann.backprop.Neuron
- neurons - Variable in class cx.ma.ai.ann.backprop.Layer
O
- out - Variable in class cx.ma.ai.ann.backprop.Pattern
- output - Variable in class cx.ma.ai.ann.backprop.Neuron
P
- Pattern - class cx.ma.ai.ann.backprop.Pattern.
- Pattern(double[], double[]) - Constructor for class cx.ma.ai.ann.backprop.Pattern
S
- setActivationType(int) - Method in class cx.ma.ai.ann.backprop.Neuron
- setBias(double) - Method in class cx.ma.ai.ann.backprop.Neuron
- setFlatness(double) - Method in class cx.ma.ai.ann.backprop.Neuron
- setLearningRate(double) - Method in class cx.ma.ai.ann.backprop.Net
- setOutput(double) - Method in class cx.ma.ai.ann.backprop.Neuron
- setWeight(int, double) - Method in class cx.ma.ai.ann.backprop.Neuron
T
- testPattern(Pattern) - Method in class cx.ma.ai.ann.backprop.Net
- testPattern(double[]) - Method in class cx.ma.ai.ann.backprop.Net
- toString() - Method in class cx.ma.ai.ann.backprop.Layer
- toString() - Method in class cx.ma.ai.ann.backprop.Net
- toString() - Method in class cx.ma.ai.ann.backprop.Neuron
- toString() - Method in class cx.ma.ai.ann.backprop.Pattern
- trainEpoch(Pattern[]) - Method in class cx.ma.ai.ann.backprop.Net
- trainPattern(Pattern) - Method in class cx.ma.ai.ann.backprop.Net
- trainPattern(double[], double[]) - Method in class cx.ma.ai.ann.backprop.Net
- trainingMode - Static variable in class cx.ma.ai.ann.backprop.Net
U
- updateWeights(double, Layer) - Method in class cx.ma.ai.ann.backprop.Neuron
W
A B C D E F G I L N O P S T U W
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