<< ann_COMPET_visualize2d Neural_Network_Functions ann_FFBP_gd >>

NeuralNet >> Neural_Network_Functions > ann_COMPET_visualize3d

ann_COMPET_visualize3d

ANN Competitive Network with 3d animation

Calling Sequence

[W,b] =  ann_COMPET_visualize3d(P,N)
[W,b] =  ann_COMPET_visualize3d(P,N,lr,lr_c,itermax)

Parameters

P :

Training input

N :

Number of neurons in competition layer (Number of classes)

lr :

Learning rate

lr_c :

Learning Rate for bias (Conscience learning rate)

itermax :

Maximum epoch for training

W :

Output Weight

b :

Output bias

Description

Competitive network training algorithm with 3d animation

Examples

x = rand(3,10);
x(:,1:5) = x(:,1:5) + 1;
[W,b] =  ann_COMPET_visualize3d(x,2);

See also

Authors


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