AI enhanced optimization of college physical education programs using hybrid genetic algorithms and learning based fitness evaluation. [PDF]
Wang X, Sun W.
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Circulating organokines in coronary artery disease and metabolic syndrome: FABP4, adiponectin, irisin, FSTL1. [PDF]
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Optimizing adaptive neuro-fuzzy inference system model based Chaotic Harris Hawks algorithm for stock prediction. [PDF]
Mohamed ZE, Refaie Ali A, Dabour W.
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Multilayer perceptron neural network approach for power quality improvement in a grid integrated PV and electric vehicle systems. [PDF]
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A multi-scenario evaluation of adaptive Fuzzy Logic Algorithms for intelligent traffic signal management in Urban intersections. [PDF]
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Approximation of cumulative infiltration of soils in arid and semi-arid regions. [PDF]
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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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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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