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NeuralNet >> Neural_Network_Functions > ann_SOM_visualize3d

ann_SOM_visualize3d

ANN Self-Orginizing Map with 3d visualization

Calling Sequence

W = ann_SOM(P)
W = ann_SOM(P,N,itermax,steps,NS,topfcn,distfcn)

Parameters

P :

Training input

N :

Structure of Feature Map

itermax :

Maximum epoch for training

steps :

steps of the NS decrease

NS :

Initial neighbourhood size

topfcn :

Topology Function

distfcn :

Distance Function

Description

This function perform Self-Orginizing training algorithm with 3d visualization.

Examples

x = rand(3,10);
x(:,1:5) = x(:,1:5) + 1;
W =  ann_SOM_visualize3d(x,[2 2]);
[y,classes] = ann_SOM_run(W,x)

See also

Authors


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