Posted 16 September 2011 - 03:24 AM
the neural network is used to tune the membership functions of the fuzzy sytem and HGA is used to find the connection weightings of the neural network instead of backpropagation. i have read a lot about neural, fuzzy and GA and understand how they work separately. but i can't figure out how to combine the 3. can anyone please help or suggest a good website where i can get a good illustration of how this hybrid works?
Posted 16 September 2011 - 03:35 AM
Posted 16 September 2011 - 04:53 AM
That's pretty much what I remember. I wrote an unmanned vehicle training simulation a while back that was based off this system. If you're looking for something more mathematical and proven, you will need to read some books on the topic. Philosophy and discrete mathematics are two other subjects I would suggest you look into. Those topics can help you build sophisticated rules that govern your training.
Posted 22 September 2011 - 07:15 AM
Posted 21 November 2011 - 10:20 AM
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