Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Group: Neural Networks
See also: nninit nnfunc

Function: nnvisu
Description: nnvisu computes the visualization for a given feed forward network by non-metric multidimensional scaling.

Usage: pnew = nnvisu (d, pold)
Input:
d n x 3 matrix of distances
pold m x 2 starting position
Output:
pnew m x 2 computed new positions

Example:



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) 

wei[,3] = abs(wei[,3])    ; most intersting connections are near 0

pos  = normal(rows(unit),2)

pos  = nnvisu(wei, pos)

pos

Result:



Contents of pos

Group: Neural Networks
See also: nninit nnfunc

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

(C) MD*TECH Method and Data Technologies, 21.9.2000