Adaptive neuro-fuzzy inference system

Modify network-based fuzzy inference (ANFIS) is a combination of two soft-computing methods of ANN and fuzzy logic (Jang ۱۹۹۳). Fuzzy logic has the ability to change the qualitative aspects of human knowledge and insights into the process of precise quantitative analysis. However, it does not have a defined method that can be used as a guide in the process of transformation and human thought into rule base fuzzy inference system (FIS), and it also takes quite a long time to adjust the membership functions (MFs) (Jang ۱۹۹۳). Unlike ANN, it has a higher capability in the learning process to adapt to its environment. Therefore, the ANN can be used to automatically adjust the MFs and reduce the rate of errors in the determination of rules in fuzzy logic. This section will describe in details of the architecture of ANFIS, FISs, and network flexibility, and hybrid learning algorithm.

کلیدواژه ها:

fuzzy inference system ، network-based fuzzy inference