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