A C D E F G H I K L M N S T W X Y

C

changeNeuronWeight(int, double[], int) - Method in class kohonen.WTALearningFunction

Change neuron weights for specified neuron number,iteration and input data vector

changeNeuronWeight(int, double[], int) - Method in class kohonen.WTALearningFunctionWithTired

Change neuron weights for specified neuron number,iteration and input data vector.

changeNeuronWeight(int, double[], int, int) - Method in class kohonen.WTMLearningFunction

Change neuron weights for specified neuron number, iteration, input data vector and distance and distance to winning neuron

changeNeuronWeight(int, double[], int, int) - Method in class kohonen.WTMLearningFunctionWithTired

Change neuron weights for specified neuron number, iteration, input data vector and distance and distance to winning neuron.

changeWeight(int, double[], int) - Method in class kohonen.WTMLearningFunction

Change specified neuron weight

CityBlockMetric - Class in metrics

City block metric return distance calculated by function: sum|x_i - y_i| for each element from inputs vectors, where x_i is first input vector element, y_i is second vector element.

CityBlockMetric() - Constructor for class metrics.CityBlockMetric

Creates a new instance of CityBlockMetric

ConstantFunctionalFactor - Class in learningFactorFunctional

Constant Function factor.

ConstantFunctionalFactor(double) - Constructor for class learningFactorFunctional.ConstantFunctionalFactor

Creates a new instance of ConstatnFunctionalModel

Coords - Class in topology

Class used to get or set neuron coordinate in topology.

Coords() - Constructor for class topology.Coords

Creates a new instance of Coords with default coordinates (0,0).

Coords(int, int) - Constructor for class topology.Coords

Creates a new instance of Coords with specified x and y coordinate.