Results 11 to 20 of about 18,271 (163)

A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation [PDF]

, 2014
The fast and accurate modelling of thermal errors in machining is an important aspect for the implementation of thermal error compensation. This paper presents a novel modelling approach for thermal error compensation on CNC machine tools.
Fletcher, Simon, Longstaff, Andrew P, Abdulshahed, Ali   +2 more
core   +5 more sources

Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model

IEEE Access, 2020
An enhanced hybrid artificial intelligence model was developed for soil temperature (ST) prediction. Among several soil characteristics, soil temperature is one of the essential elements impacting the biological, physical and chemical processes of the ...
Liu Penghui, Ahmed A. Ewees, Beste Hamiye Beyaztas, Chongchong Qi, Sinan Q. Salih, Nadhir Al-Ansari, Suraj Kumar Bhagat, Zaher Mundher Yaseen, Vijay P. Singh   +8 more
doaj   +1 more source

Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]

, 2013
Thermal errors can have significant effects on CNC machine tool accuracy. The errors usually come from thermal deformations of the machine elements created by heat sources within the machine structure or from ambient change.
Longstaff, Andrew P., Fletcher, Simon, Abdulshahed, Ali, Myers, Alan   +3 more
core   +3 more sources

Predicting Australia’s Domestic Airline Passenger Demand using an Anfis Approach

Transport and Telecommunication, 2022
The forecasting of future airline passenger demand is critical task for airline management. The objective of the present study was to develop an adaptive neuro-fuzzy inference system (ANFIS) for predicting Australia’s domestic airline passenger demand ...
Srisaeng Panarat, Baxter Glenn
doaj   +1 more source

Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive clustering methods for modeling Cadmium in groundwater resources

Heliyon, 2023
The Adaptive Neuro-Fuzzy Inference System (ANFIS) combines the strengths of both Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) into a single framework.
Naghmeh Jafarzade, Ozgur Kisi, Mahmood Yousefi, Mansour Baziar, Vahide Oskoei, Nilufar Marufi, Ali Akbar Mohammadi   +6 more
doaj   +1 more source

The application of ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]

, 2015
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Longstaff, Andrew P., Fletcher, Simon, Abdulshahed, Ali, Abdulshahed, Ali M.   +3 more
core   +1 more source

Intelligent Active Vibration Control for a Flexible Beam System [PDF]

, 2004
YesThis paper presents an investigation into the development of an intelligent active vibration control (AVC) system. Evolutionary Genetic algorithms (GAs) and Adaptive Neuro-Fuzzy Inference system (ANFIS) algorithms are used to develop mechanisms of an ...
Yu, H., Dahal, Keshav P., Hossain, M. Alamgir, Madkour, A.A.M.   +3 more
core   +4 more sources

Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods

Applied Water Science, 2019
In natural rivers and artificial channels in addition to the channel dimensions (widening, reduction in slope and depth in the channel banks), formed shape profile in the case that the sediment on the banks with no movement (thresholds state) is of ...
Azadeh Gholami, Hossein Bonakdari, Isa Ebtehaj, Seyed Hamed Ashraf Talesh, Saeed Reza Khodashenas, Ali Jamali   +5 more
doaj   +1 more source

Adaptive neuro-fuzzy inference system for temperature and humidity profile retrieval from microwave radiometer observations [PDF]

Atmospheric Measurement Techniques, 2015
The retrieval of accurate profiles of temperature and water vapour is important for the study of atmospheric convection. Recent development in computational techniques motivated us to use adaptive techniques in the retrieval algorithms.
K. Ramesh, A. P. Kesarkar, J. Bhate, M. Venkat Ratnam, A. Jayaraman   +4 more
doaj   +1 more source

Optimization of ANFIS Model using Genetic Algorithm for Estimation of Scour Depth around Bridge Abutments

علوم آب و خاک, 2021
Optimization of artificial intelligence (AI) models is a significant issue because it enhances the performance and flexibility of the numerical models.
E. Yarmohammadi, S. Shabanlou, A. Rajabi
doaj