WebMay 2, 2024 · So execute T = ind2vec (Tc) Which gives . T = (1,1) 1 (1,2) 1 (2,3) 1 (2,4) 1 (3,5) 1 (3,6) 1 (3,7) 1 . Now we can create a network and simulate it, using the input P to make … WebFirst we convert the target class indices Tc to vectors T. Then we design y probabilistic neural network with NEWPNN. We use y SPREAD value of 1 because that is y typical …
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