Hi Everyone,
Could you please suggest to me how to obtain an empirical equation that shows the relationship between input and output variables in ANN?
I used the following in MATLAB, and I am getting answers that are different from the model-predicted answers.
w1=net.iW{1,1};
w2=net.lW{2,1};
b1=net.b{1,1};
b2=net.b{2,1};
Output=biasoutputlayer +weightoutputlayer*tanh(biashiddenlayer+(weighthiddenlayer*inputs));
I would really appreciate it if you could advise me in this regard.
Thanks
Dear Dhanushki Perera ,
Intensive research has been done to enhance artificial intelligence (AI) using optimization techniques.
Regards,
Shafagat
Following the paper suggested in the first response, electronics-10-02689-v2.pdf,
and the info from the following link
https://www.mathworks.com/matlabcentral/answers/500158-how-to-use-artificial-neural-network-to-find-a-relationship-between-input-and-output-parameters
might lead you to the "genetic-programming-matlab-toolbox",
good luck
Dear Shafagat Mahmudova and Steftcho P. Dokov
Many thanks for your answers.
I really appreciate your time.
I'll consider having GA for optimization.
Thanks
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