ANFIS network

In earlier chapters, we saw the theory and practical applications of ANNs. When we combine the general theory of ANNs with fuzzy logic, we are able to get a neuro-fuzzy system that is a very efficient and powerful mechanism for modeling the real world input into intelligent machines, and producing output that are based on the adaptive judgement of a machine. This brings the computational frameworks very close to how a human brain would interpret the information and is able to take action within split seconds. Fuzzy logic itself has the ability to interpenetrate between human and machine interpretations of the data, information, and knowledge. However, it does not have an inherent capability to translate and model the process of transformation of human thought processes into rule based, self-learning, fuzzy inference systems (FIS).

ANNs can be utilized for automatically adjusting the membership functions based on the environmental context and training the network interactively...