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com.anji.nn
contains classes implementing a simple artificial neural net framework.
See:
Description
Interface Summary | |
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ActivationFunction | Abstracts activation function for neurons. |
Connection | Abstract connection to carry data into neurons. |
Class Summary | |
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ActivationFunctionFactory | Factory to hide implementation details of creating activation functions and ensure there is always only one of each. |
ActivationFunctionType | Enumerated type representing flavors of neurons: input, output, hidden. |
AnjiNet | Aggregates all pieces for a full neural network. |
BiasConnection | Connection used for bias node, clamped at 1. |
CacheNeuronConnection | A connection between neurons that caches its value from previous timestep. |
ClampedLinearActivationFunction | |
EvSailSigmoidActivationFunction | Modified classic sigmoid. |
InverseAbsActivationFunction | Inverse absolute value. |
LinearActivationFunction | Linear activation function. |
Neuron | Neuron component of an artificial neural network. |
NeuronConnection | Connection between neurons. |
Pattern | Converts double array stimuli to Connection objects. |
RandomConnection | |
RecurrencyPolicy | Enumerated type representing policies for how to handle recurrency. |
SigmoidActivationFunction | Modified classic sigmoid. |
SignedClampedLinearActivationFunction | |
SignedStepActivationFunction | Step activation function. |
StepActivationFunction | Step activation function. |
StepHourglassConnection | StepHourglassConnection Connection returning a value between 0 and 1, where 1 indicates the fully allotted amount of time remaining and 0 indicates no time remainnig. |
TanhActivationFunction | Hyperbolic tangent. |
TanhCubicActivationFunction | Hyperbolic tangent modified to have a "well" around 0. |
com.anji.nn
contains classes implementing a simple artificial neural net framework.
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PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |