Library: | nn |
See also: | nnrnet ann nnrpredict nnrload |
Macro: | nnrsave | |
Description: | saves a network in different names |
Usage: | nnrsave(net, name) | |
Input: | ||
net | composed object from nnrnet | |
name | name of a file (without extension) |
x = read("kredit1") t = read("tkredit") y = x[,1] x = x[,2:21] x = (x-min(x))./(max(x)-min(x)) net = nnrnet (x, y, matrix(rows(x)), 10) nnrsave (net, "nnkred")
runs a neural network with 10 hidden units for the kredit data of Fahrmeier and Hammerle and computes the predicted values and saves it in filesnnkred.xxx
Library: | nn |
See also: | nnrnet ann nnrpredict nnrload |