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- P= 0 + (rand(1) * 10);
- T = (P-1)/(P+1);
- net = newelm(P,T,5);
- net = train(net,P,T);
- Y = sim(net,P);
- Y = a*X1 + 3.6*X2 # relationship between Y and X2 is known
- Y - 3.6*X2 = a*X1
- ^^^^^^^^^^ ^^^^
- [target] [input]
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