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 Author Comment/Response Jeff Haynes 10/24/00 06:49am I'm trying to construct a generalized transfer function for a fully connected neural net. Basically I need to solve these equations for Y[n] in terms of X[n] and the (n+1) x (n+1) array [a] and I can't figure out how to go about it. I make use of the 1-d arrays wout and win but they should drop out if solved correctly. Any suggestions? Thanks!! wout[[i]] = win[[i]] g Y[n] = Sum[wout[j] a[[j,N+1]],{j,1,N}] win[i] = Sum[wout[j] a[[j,i]] + X[n] a[[N+1,i]],{j,1,N}] Here follows the notebook code I think (I'm new to this whole mathematica thing): \!\(wout\_\(\(\[LeftDoubleBracket]\)\(i\)\(\[RightDoubleBracket]\)\) = win\_\(\(\[LeftDoubleBracket]\)\(i\)\(\[RightDoubleBracket]\)\)\ g\) \!\(y[n]\ = \ \[Sum]\+\(j = 1\)\%N wout\_\(\(\[LeftDoubleBracket]\)\(j\)\(\ \[RightDoubleBracket]\)\)\ \[Alpha]\_\(\(\[LeftDoubleBracket]\)\(j, N + 1\)\(\ \[RightDoubleBracket]\)\)\) \!\(win\_\(\(\[LeftDoubleBracket]\)\(i\)\(\[RightDoubleBracket]\)\) = \ \[Sum]\+\(j = 1\)\%N wout\_\(\(\[LeftDoubleBracket]\)\(j\)\(\ \[RightDoubleBracket]\)\)\ \[Alpha]\_\(\(\[LeftDoubleBracket]\)\(j, i\)\(\ \[RightDoubleBracket]\)\) + X[n]*\ \[Alpha]\_\(\(\[LeftDoubleBracket]\)\(N + 1, i\)\(\ \[RightDoubleBracket]\)\)\) URL: ,

 Subject (listing for 'Some help w/ a generalized H for NNs?') Author Date Posted Some help w/ a generalized H for NNs? Jeff Haynes 10/24/00 06:49am Re: Some help w/ a generalized H for NNs? Aaron Honecker 10/26/00 06:18am
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