sensitivity analysis, multilayer, feed-forward, back-propagation neural network using MATLAB.
显示 更早的评论
How can I carry out a sensitivity analysis, that is, the effect of input parameters on the output of a multilayer, feed-forward, back-propagation neural network using MATLAB. What is the code for this, or is there any inbuilt function to carry out ?
采纳的回答
Greg Heath
2014-4-11
For a simple MIMO MLP, the I/O relationship is
[ I N ] = size(x);
[ O N ] = size(y);
y = b2 + LW*tanh(b1+IW*x);
Just take gradients with respect to whatever parameter component you are interested in.
Hope this helps.
Thank you for formally accepting my answer
Greg
5 个评论
Andualem alemu
2015-4-5
here I request you to give me a description on what the variable b2, LW, B1, and IW represent. this makes it clear. thank you
Greg Heath
2015-4-6
Which has more hits when you search on
b1 b2 IW LW
The NEWSGROUP
or
ANSWERS?
Andualem alemu
2015-4-6
编辑：Andualem alemu
2015-4-6
the answer you gave is the following for sensitivity analysis of MLP. From the formula you gave b1 b2 IW LW are not clear. What are they? [ I N ] = size(x); [ O N ] = size(y); y = b2 + LW*tanh(b1+IW*x); Just take gradients with respect to whatever parameter component you are interested in.
Greg Heath
2015-4-7
I am confused. Yesterday you wrote
" this makes it clear. thank you"
but today you wrote
"...are not clear."
What has changed? More to the point: Did you learn anything at all from the formula? If so, what?
The following should help:
h = tansig( b1 + IW*x ); % HIDDEN LAYER
y = b2 + LW*h; % OUTPUT LAYER
Andualem alemu
2015-4-7
编辑：Andualem alemu
2015-4-7
I am sorry that I am bothering you too much. But it is because I am absolute beginner and so curious to know, work on and understand MLP and ensemble MLP for time series forecasting!!
Dear sir my question is in the formula:
y = b2 + LW*tanh(b1+IW*x);
What is Y, b2, LW, b1, IW and x ?
what are they representing and how can I find their value?
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
