Adaptive network based fuzzy inference system

The Adaptive Network based Fuzzy Inference System (ANFIS)... 

Jang, J.S.R. (1993) ANFIS Adaptive Network-based Fuzzy Inference System, IEEE Transactions on Systems, Man and Cybernetics, 23, pp. 665-685. 

In this paper we describe the application of an adaptive network based fuzzy inference system (ANFIS) predictor to the estimation of the product compositions in a binary methanol-water continuous distillation column from available on-line temperature measurements. This soft sensor is then applied to train an ANFIS model so that a GA performs the searching for the optimal dual control law applied to the distillation column. The performance of the developed ANFIS estimator is further tested by observing the performance of the ANFIS based control system for both set point tracking and disturbance rejection cases. 

Jang, J.S.R., ANFIS Adaptive-network-based fuzzy inference systems, IEEE Trans. Syst. Man... 

Jyh-ShingRJ (1993) ANFIS adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybem... 

Neuro fuzzy modeling is a useful technique that combines the advantages of neural networks and fuzzy inference systems. In this approach, the fuzzy model is architecturally the same as a neural network. In this case one could use, for example error back-propagation to train the network to find the parameters of the fuzzy model. The most well-known method is the so-called ANFIS method the Adaptive-Network based Fuzzy Inference System. The method will be explained in this chapter and several examples will be developed as an illustration. 

Araz OU, Salum L (2010) A multi-criteria adaptive control scheme based on neural networks and fuzzy inference for DRC manufacturing systems. Int J Prod Res 48(l) 251-270... 

---