Optimise ANN structure using GA

5 Ansichten (letzte 30 Tage)
Rahmat Izaizi Ismail
Rahmat Izaizi Ismail am 18 Jan. 2016
Kommentiert: Mathiyazhagan S am 16 Feb. 2022
After training of ANN and building the model through ANN toolbox of Matlab, in the output generation dialogue box, we can generate ANN codes by clicking on Matlab Code Generation.
Then, the generated Mat file should be saved in a file called ANN Fitness function. In this stage, through Global Optimization Toolbox, GA can be selected. Once GA is selected, it needs to call the objective function in the relevant tab. Now, we can call the ANN model as the fitness function for GA through the following syntax: @ANN Fitness function
After calling the ANN model as the fitness function for GA, how to determine the variables?
For example how can we make GA choose between 3 training algorithm which are trainlm, trainbr, trainscg and also tries 1-10 number of hidden neuron?
  2 Kommentare
DINESH KUMAR
DINESH KUMAR am 18 Jan. 2017
After training of ANN and building the model through ANN toolbox of Matlab, in the output generation dialogue box, we can generate ANN codes by clicking on Matlab Code Generation.
You have mentioned this in your comment. Please let me know how to do that. How to generate ANN code Mat file from model. email id id dinesh30@rediffmail.com
Mathiyazhagan S
Mathiyazhagan S am 16 Feb. 2022
Did you got the answer for your questions.
Please share it with us.

Melden Sie sich an, um zu kommentieren.

Antworten (1)

omid nematollahi male
omid nematollahi male am 26 Dez. 2017
hello did you solve this problem?
  1 Kommentar
Greg Heath
Greg Heath am 31 Dez. 2017
Why are you putting a question in an ANSWER BOX?

Melden Sie sich an, um zu kommentieren.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by