Building Neural Fuzzy Controllers with NEFCON-I

Combinations of neural networks and fuzzy controllers that are known from recent publications are mostly cooperative in nature. This means a neural network is used to learn either fuzzy sets or fuzzy rules, and the results are used to build a conventional fuzzy controller. Hybrid approaches on the other hand try to find a new kind of architecture that unifies neural networks and fuzzy controllers. Some of these approaches have problems when it comes to the interpretation of the learning results. This is especially true, when a pure neural architecture is used.