Group: | Neural Networks |
See also: | nninit nnvisu |
Function: | nnfunc | |
Description: | nnfunc computes for a given feed forward network the result for a datavector x. |
Usage: | y = nnfunc (wei, unit, x) | |
Input: | ||
wei | n x 3 matrix of weights | |
unit | m x 2 matrix of units | |
x | p x k input values | |
Output: | ||
y | p x l output values |
x = read("bank2") ; read bank2 data y =(1:200).<101 ;; build logit model wei =(1:6)~(7.*matrix(6))~normal(6) unit = trans(#(-1,0)).*matrix(7)|trans(#(1,2)) ind = nninit(wei, unit) wei = index(wei, ind) randomize(0) yh = nnfunc(wei, unit, x) y~yh
Contents of _tmp