Why the code is giving different results, every time I run it ???
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clc;clear all;close all;
net = newff([-10 10],[4 1],{'tansig','purelin'});
p = [-10 -5 0 5 10];
t = [0 0 1 1 1];
y = sim(net,p);
e = t-y;
perf = mse(e);
%%%%%%%%%%%%%%%%% End of the Code %%%%%%%%%%%%%%%%%%%%%%%
Why the result of the code is giving different results every time I run it.
댓글 수: 1
Jan
2013년 2월 1일
clc;clear all;close all; is a brute cleaning. Especially clear all is not useful, but use clear variables to allow Matlab to keep the expensively parsed functions in the memory.
채택된 답변
Shashank Prasanna
2013년 2월 1일
This is due to random setting of the initial weights and biases.
You can confirm that by setting the random seed each time and your results will be reproducible:
clc;clear all;close all;
rand('seed',0) % set random seed
net = newff([-10 10],[4 1],{'tansig','purelin'});
p = [-10 -5 0 5 10];
t = [0 0 1 1 1];
y = sim(net,p);
e = t-y;
perf = mse(e);
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추가 답변 (1개)
Vito
2013년 2월 1일
Each time occurs network initialization. That is initial IW installation. Usually it occurs in a random way. Therefore result, on an untrained network always the different.
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