| 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