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I have, like you see, just a general question about the combination of fuzziness and neural networks. I understood it as follows

  1. Fuzzy neural networks as a hybrid system: the neural network helps me to find the optimal parameters related to the fuzzy system, for example, the rules or the membership function

  2. Adaptive neural fuzzy inference systems (ANFIS): the NN helps me to find the optimal parameters related to the fuzzy inference system. What are some examples here?

I cannot intuitively grasp the difference between these two.

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  • $\begingroup$ I don't see any difference between these two. The question leads to what you actually mean by a "fuzzy neural network" and an ANFIS; don't you mean the same, that is, layer 1 are the inputs, layer 2 the application of the antecedents membership functions, layer 3 the rules, layer 4 the consequents (apply inverse membership function to rule strength) and layer 5 the final combined output? $\endgroup$
    – Mathy
    Commented Mar 6, 2023 at 7:02

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