Data scaling in neural network

Dear All;

I would like to know where MATLAB doing the input scaling using MAPMINMAX function , to change the scaling. Suppose that i have the standard code for Classification problem below , does this code do scaling between [-1,1]?:

clc; clear; close all; [x1,TXT,RAW]=xlsread('finalall.xlsx','Ln(3P)'); [t1,TXT2,RAW2]=xlsread('finalall.xlsx','OUT2'); x=x1'; t=t1'; size(x) size(t)

net= patternnet ([40]); % net.divideParam.trainRatio = 70/100; % net.divideParam.valRatio = 15/100; % net.divideParam.testRatio = 15/100; % view(net) net=init(net); [net,tr] = train(net,x,t); nntraintool

plotperform(tr)

[Greg Heath]

PLEASE LEARN HOW TO FORMAT YOUR POST!

40 hidden nodes is probably much higher than necessary. Did you try using the default (10) first, and, if insufficient, search for the smallest value that works?

The ratio assignments are default values. Therefore they can be omitted.

Answer 1

[Madhav Rajan]

I understand that you want to know where the mapminmax scaling is applied when training the network. The 'patternnet' function calls the 'feedforwardnet' function which calls the 'mapminmax' function. Those three functions are MATLAB scripts which can be opened using the 'edit' command. Opening these files and placing breakpoints helped me isolate which function called the 'mapminmax' function.

Hope this helps.