/usr/lib/scilab-ann/demos/encoder.sci is in scilab-ann 0.4.2.4-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | // Tight 4-2-4 encoder on a backpropagation ANN
// ensure the same starting point each time
rand('seed',0);
// network def.
// - neurons per layer, including input
N = [4,2,4];
// inputs
x = [1,0,0,0;
0,1,0,0;
0,0,1,0;
0,0,0,1]';
// targets, at training stage is acts as identity network
t = x;
// learning parameter
lp = [2.5,0];
W = ann_FF_init(N);
// 400 epochs are enough to ilustrate
T = 400;
W = ann_FF_Std_online(x,t,N,W,lp,T);
// full run
ann_FF_run(x,N,W)
// encoder
encoder = ann_FF_run(x,N,W,[2,2])
// decoder
decoder = ann_FF_run(encoder,N,W,[3,3])
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