Identification of fuzzy dynamic systems using Max-Min recurrent neural networks

摘要

We present a new model of a Max-Min recurrent neural network that is able to identify fuzzy dynamic systems from a set of examples. Once the neural network is trained, the fuzzy relation that describes the system is encoded in its weights.