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

Library: nn
See also: nnrnet ann

Macro: nnrpredict
Description: estimates for a given net and dataset the response.

Reference(s):

Usage: yh=nnrpredict(x, net)
Input:
x n x p matrix input variables
net composed object from nnrnet
Output:
y n x q matrix reponse variables

Example:
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)
yh  = nnrpredict (x, net)
Result:
runs a neural network with 10 hidden units for the kredit 
data of Fahrmeier and Hammerle and computes the predicted
values.

Library: nn
See also: nnrnet ann

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

Author: Sigbert Klinke, 970523
(C) MD*TECH Method and Data Technologies, 28.6.1999