Optimise ANN structure using GA

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Rahmat Izaizi Ismail
Rahmat Izaizi Ismail el 18 de En. de 2016
Comentada: Mathiyazhagan S el 16 de Feb. de 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 comentarios
DINESH KUMAR
DINESH KUMAR el 18 de En. de 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 el 16 de Feb. de 2022
Did you got the answer for your questions.
Please share it with us.

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Respuestas (1)

omid nematollahi male
omid nematollahi male el 26 de Dic. de 2017
hello did you solve this problem?
  1 comentario
Greg Heath
Greg Heath el 31 de Dic. de 2017
Why are you putting a question in an ANSWER BOX?

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