Enhanced significant wave height prediction in the Southern Ocean using an ANFIS model optimized with subtractive clustering. [PDF]
Sci RepHakimi A, Farjami H.
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Hybrid Fennec Fox-Sand Cat optimized cascaded ANFIS MPPT for enhanced control of DFIG-based WECS with grid support. [PDF]
Sci RepRajanala P +7 more
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A drift-aware RS2FS pipeline with confidence gating for IDS. [PDF]
Sci RepSakthivel G, Kumarasamy AK.
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Optimization of fuzzy logic controller in the converter of a standalone solar power system using the firefly algorithm. [PDF]
Sci RepNouri P +3 more
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Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering
Computers and Geotechnics, 2012Abstract This paper presents a review of the Adaptive Neuro-Fuzzy Inference System (ANFIS) in current use for geotechnical engineering-based studies, as well as some applications employed in resonant column testing, triaxial testing, and liquefaction triggering. Over the last few years, ANFIS has been used in many geotechnical engineering problems. A
Ali Firat Cabalar +2 more
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An Implementation of the Adaptive Neuro-Fuzzy Inference System (ANFIS) for Odor Source Localization
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020In this paper, we investigate the viability of implementing machine learning (ML) algorithms to solve the odor source localization (OSL) problem. The primary objective is to obtain an ML model that guides and navigates a mobile robot to find an odor source without explicating searching algorithms.
Lingxiao Wang 0005, Shuo Pang 0001
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An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM
Expert Systems with Applications, 2009A wire electrical discharge machined (WEDM) surface is characterized by its roughness and metallographic properties. Surface roughness and white layer thickness (WLT) are the main indicators of quality of a component for WEDM. In this paper an adaptive neuro-fuzzy inference system (ANFIS) model has been developed for the prediction of the white layer ...
Ulas Çaydas +2 more
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MI-ANFIS: A multiple instance Adaptive Neuro-Fuzzy Inference System
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015We introduce a novel adaptive neuro-fuzzy architecture based on the framework of Multiple Instance Fuzzy Inference. The new architecture called Multiple Instance-ANFIS (MI-ANFIS), is an extension of the standard Adaptive Neuro Fuzzy Inference System (ANFIS) [1] that is designed to handle reasoning with multiple instances (bags of instances) as input ...
Amine Ben Khalifa, Hichem Frigui
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Respiratory motion prediction by using the adaptive neuro fuzzy inference system (ANFIS)
Physics in Medicine and Biology, 2005The quality of radiation therapy delivered for treating cancer patients is related to set-up errors and organ motion. Due to the margins needed to ensure adequate target coverage, many breast cancer patients have been shown to develop late side effects such as pneumonitis and cardiac damage.
Manish, Kakar +4 more
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Adaptive Neuro Fuzzy Inference System (ANFIS) based wildfire risk assessment
Journal of Experimental & Theoretical Artificial Intelligence, 2019ABSTRACTWildfires are extremely destructive disasters that cause significant loss of lives, forest cover and wildlife. This is due to their uncontrolled, erratic, rapid spread and behaviour. The incidence of wildfires is expected to increase worldwide because of Global Warming.
Harkiran Kaur, Sandeep K. Sood
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