i am using ga to find the initial weight of ann, So i need know about the fitness function?

i want to find the initial weight of ann by using genetic algorithm. i have multiple input to ann. how i link ann and ga to perform my task.

Answer 1

[Matthew Eicholtz]

It sounds like you need to decide on a fitness function to evaluate candidate solutions provided by the genetic algorithm. Perhaps the easiest function is whatever you would use during training of the neural network (e.g., sum of the squared error on training data).

Here is just one of many potential solutions to this problem:

1. Generate population of solutions for the genetic algorithm (GA).
2. For each candidate solution, initialize and train a neural network with those corresponding weights.
3. Test each trained neural network using some validation data.
4. Compute some measure of error or accuracy (i.e., fitness) of the networks on the validation data.
5. Use the fitness scores to rank the population.
6. Apply GA operators (e.g., crossover, mutation, elitism) to create next generation of solutions.
7. Repeat steps 2-7 until some stopping criterion is met.

Does this help?

[rabi darji]

i am new to matlab but i understand the algorithm. can i find any matlab code for that?

[Matthew Eicholtz]

Not that I am aware of, but you can check the File Exchange. For a problem as challenging as this, I wouldn't expect to find something that you can use out-of-the-box. I suggest taking it one step at a time, and after attempting to write some code for a given part of the algorithm, post another specific question if you still need help.

[Greg Heath]

It is rare that you cannot find helpful posts in both the NEWSREADER and ANSWERS. A few search-word examples

 greg neural genetic
 greg neural ga

 neural genetic
 neural ga

Hope this helps.

Greg