Need help regarding fuzzy neural networks, genetic algortithms

can someone tell me whats the difference between fuzzy neural network and a artificial neural network. Are these different from fuzzy inference systems? could you give simple applications for these and genetic algorithms ?

Can someone suggest something that involves fuzzy, neural and genetic all at once?

Answer 1

[Greg Heath]

I work with ANNs. However, your answer is too broad and imprecise for me to try to answer it completely in a few paragraphs. I agree with Walter that you should start with an elementary text and/or online sources like the comp.ai.neural-nets FAQ, wikipedia, etc.

The short answer is that typical ANNs are regression or classification algorithms that can be interpreted in terms of input,output and hidden nodes that are connected via multiplicative weights and activation functions.

The anachronym ANN indicates that the first significant work was w.r.t the (artifiical) modelling of biological neural networks using sigmoidal activation functions.

There are many types of ANNs and for each type there are many deterministic and random design approaches. Given a functioning ANN there is usually no way to determine how it was designed. However, sometimes you do get a hint (e.g., Genetic NN).

Hope this helps.

Greg

[vivek]

i understand ANN. I can make simple examples using matlab. What I need is some sort of small application of FNN and GA together.

[Walter Roberson]

If find a number of papers on the combination when I google for it.

Answer 2

[vivek]

come on someone answer this please !

[Walter Roberson]

As I do not work with any of those, if I were to try to answer it, I would start by googling the terms and studying the descriptions.