Package com.anji.nn

com.anji.nn contains classes implementing a simple artificial neural net framework.

See:
Description

Interface Summary

ActivationFunction	Abstracts activation function for neurons.
Connection	Abstract connection to carry data into neurons.

Class Summary

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.

Package com.anji.nn Description

com.anji.nn contains classes implementing a simple artificial neural net framework.