Fuzzy Inference System (FIS) Fuzzy Inference System (FIS) If speed is low then resistance = 2 If speed is medium then resistance = 4*speed If speed is high then resistance = 8*speed Rule 1: w1 = .3; r1 = 2 Rule 2: w2 = .8; r2 = 4*2 ...
A soft computing approach for prediction of P-q-T behavior of natural gas using adaptive neuro- fuzzy inference system. Petroleum. 2016a. https://doi.org/10. 1016/j.petlm.2016.12.004.A soft computing approach for prediction of P-q-T behavior of natural gas using adaptive neurofuzzy ...
In subject area: Computer Science An adaptive neuro-fuzzy inference system is defined as an intelligent synthesis of neural networks and fuzzy logic, combining the robustness and learning capabilities of neural networks with the ability to model imprecise knowledge using fuzzy logic. ...
Keywords: Soft computing Fuzzy computing fuzzy coordinate system fuzzy representation theory fuzzy inference theory Access this article Log in via an institution Subscribe and save Springer+ Basic €32.70 /Month Get 10 units per month Download Article/Chapter or eBook 1 Unit = 1 Article or 1...
(2007). Adaptive Neuro-Fuzzy Inference System Based Autonomous Flight Control of Unmanned Air Vehicles. In: Liu, D., Fei, S., Hou, ZG., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4491. Springer, Berlin, ...
In this study, the integration of an adaptive hybrid of differential evolution and particle swarm optimization (A-DEPSO) with adaptive neuro fuzzy inference system (ANFIS) model is adopted for EC prediction. The A-DEPSO method uses unique mutation and crossover processes to correspondingly boost ...
Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications || Fuzzy Inference Systems: A Critical Review V. Cherkassky, Fuzzy Inference Systems: A Critical Review, Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications, Kayak O, Zadeh LA et ...
In an ANFIS system, neural networks automatically extract the fuzzy if-Then rules from a given data set and, the membership functions (MFs) or fuzzy rules are adaptively adjusted through the learning process. Accordingly, an adaptive neuro-fuzzy inference system based on self-learning capability ...
Also, the ant colony optimization fuzzy inference system (ACOFIS) model is employed to predict the temperature distribution in the reactor based on the CFD results. The results indicated that instead of solving Navier–Stokes equations and complex solving procedures, the swarm intelligence could be ...
Fault detection and accommodation in dynamic systems using adaptive neuro-fuzzy systems A new software redundancy approach based on all adaptive neuro-fuzzy inference system (ANFIS) is introduced. An ANFIS model is used to detect the fault ... OM Al-Jarrah,M Al-Rousan - IEE Proceedings - Contr...