Results 191 to 200 of about 55,481 (267)

ANFIS: adaptive-network-based fuzzy inference system

IEEE Transactions on Systems, Man, and Cybernetics, 1993
Jyh-Shing Jang
exaly   +2 more sources

Evaluation of ANN and ANFIS modeling ability in the prediction of AISI 1050 steel machining performance

Heliyon, 2021
In the development of an accurate modeling technique for the design of an efficient machining process, manufacturers must be able to identify the most suitable technique capable of producing a fast and accurate performance.
S. O. Sada, S. C. Ikpeseni
exaly   +2 more sources

An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity

Artificial Intelligence Review, 2021
Danial Jahed Armaghani, Hooman Harandizadeh, Ehsan Momeni   +2 more
exaly   +2 more sources

Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey

Artificial Intelligence Review, 2018
Dervis Karaboga, Ebubekİr Kaya
exaly   +2 more sources

Development of adaptive neuro fuzzy inference system –Evolutionary algorithms hybrid models (ANFIS-EA) for prediction of optimal groundwater exploitation

Journal of Hydrology, 2021
The present study deals with the optimal extraction of groundwater resources. This approach has been developed for optimal integrated operation in an aquifer in Iran.
Sami GhMilan, Abbas Roozbahani, Naser Arya Azar   +2 more
exaly   +2 more sources

Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer

, 2020
Achieving a reliable model for predicting the compressive strength (CS) of concrete can save in time, energy, and cost and also provide information about scheduling for construction and framework removal.
E. Golafshani, A. Behnood, M. Arashpour
semanticscholar   +1 more source

Modeling the electrical properties of heterojunctions using ANFIS, ANFIS-GA and ANFIS-PSO Models

Physica Scripta, 2023
Abstract The present research introduces a theoretical study that aims to utilize ANFIS in estimating and predicting the electrical behavior of heterojunctions. For this purpose, five different heterojunctions were chosen. The experimental datasets that represent the electrical behavior of the chosen heterojunctions were extracted and ...
openaire   +1 more source

Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO

, 2021
Modelling the heating load (HL) and cooling load (CL) is the cornerstone of the designing of energy-efficient buildings, since it determines the heating and cooling equipment requirements needed to retain comfortable indoor air conditions.
Navid Kardani, A. Bardhan, Dookie Kim, Pijush Samui, Annan Zhou   +4 more
semanticscholar   +1 more source

Wind turbine power output very short-term forecast: A comparative study of data clustering techniques in a PSO-ANFIS model

Journal of Cleaner Production, 2020
The emergence of new sites for wind energy exploration in South Africa requires an accurate prediction of the potential power output of a typical utility-scale wind turbine in such areas.
Paul Adeola Adedeji, Stephen A Akinlabi, Nkosinathi Madushele   +2 more
exaly   +2 more sources

Modified ANFIS architecture - improving efficiency of ANFIS technique

7th Seminar on Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004, 2005
Adaptive neuro-fuzzy inference systems (ANFIS), fusing the capabilities of artificial neural networks and fuzzy inference systems, offer a lot of space for solving different kinds of problems, and are especially efficient in the domain of signal prediction. However, the ANFIS technique is sometimes notated as being computationally expensive. The paper,
B.B. Jovanovic, I.S. Reljin, B.D. Reljin
openaire   +1 more source