- Neural Net Fitting app -https://www.mathworks.com/help/deeplearning/ref/neuralnetfitting-app.html#mw_eb6ed449-8781-4415-a28c-6ab3de39de1d
- Neural Net Pattern Recognition app - https://www.mathworks.com/help/deeplearning/ref/neuralnetpatternrecognition-app.html#mw_084ee2ec-7dd5-417d-9678-94839d77777c
- Neural Net Clustering app - https://www.mathworks.com/help/deeplearning/ref/neuralnetclustering-app.html#mw_aeb761a4-595a-4458-b965-c6e0d5d6504c
- Neural Net Time Series app - https://www.mathworks.com/help/deeplearning/ref/neuralnettimeseries-app.html#mw_6fe4c78e-4f82-4796-8657-bbc10bfd8b87
Generating equation in ANN
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Hi. I have 5 input values with 33 data per input value. And I have 1 output value with 33 data in the output value. Basically my input is 5x33 and my output is 1x33. I am using the nnstart as a means to train my data. I would like to ask if how can I generate an equation for the output value with the input values as the variables? I can't seem to find an option in the nnstart after I train my data. Thank you so much.
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Answers (1)
Shree Charan M L
on 17 Oct 2023
Hi Carmela,
The equation for fitnet is
y = b2 + LW*tanh(b1+IW*x);
where
b1 = net.b{1};
b2 = net.b{2};
IW = net.IW{1,1};
LW = net.LW{2,1};
‘nnstart’ opens the following apps - Neural Net Fitting app, Neural Net Pattern Recognition app, Neural Net Clustering app, and Neural Net Time Series app. You may refer to the following documentation to read more about the algorithms used in each of these apps:
You may refer to the following MATLAB Answers articles for more information:
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