Results 91 to 100 of about 10,723 (231)
Clustering as a tool for self-generation of intelligent systems : a survey. [PDF]
, 2010 Fuzzy Rule Based (FRB) and Neuro-fuzzy systems are commonly used as a basis for intelligent systems due to their transparent and simple human interpretable structure.
Angelov, Plamen, Dutta Baruah, Rashmi
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Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical Photosynthetically Active Radiation [PDF]
, 2018 Advocacy for climate mitigation aims to minimize the use of fossil fuel and to support clean energy adaptation. While alternative energies (e.g., biofuels) extracted from feedstock (e.g., micro‐algae) represent a promising role, their production requires
Deo, Ravinesh C. +7 more
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سلامت و محیط, 2023 Background and Objective: One of the important environmental problems is the mass production of urban waste, which has increased per capita household waste production with the ever-increasing population growth; Therefore, nowadays, the use of ...
Samira Bagheri +3 more
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Strong Convergence of Neuro-Fuzzy Learning With Adaptive Momentum for Complex System
IEEE Access, 2019 This paper studies a split-complex-valued neuro-fuzzy algorithm for fuzzy inference system, which realizes a frequently used zero-order Takagi-Sugeno-Kang system. Here, adaptive momentum is utilized to speed up the learning convergence.
Yan Liu, Fang Liu, Long Li
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Ranfis : Rough Adaptive Neuro-Fuzzy Inference System
, 2007 The paper presents a new hybridization methodology involving Neural, Fuzzy and Rough Computing. A Rough Sets based approximation technique has been proposed based on a certain Neuro – Fuzzy architecture. A New Rough Neuron composition consisting of a combination of a Lower Bound neuron and a Boundary neuron has also been described.
Chandana, Sandeep, Mayorga, Rene V.
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, 1999 In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The paper is organized as follows: in the first section we introduce the basic notations and definitions needed for fuzzy inference systems; in the second ...
Fullér, Róbert
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Modeling of Activated Sludge Process Using Sequential Adaptive Neuro-fuzzy Inference System [PDF]
آب و فاضلاب, 2014 In this study, an adaptive neuro-fuzzy inference system (ANFIS) has been applied to model activated sludge wastewater treatment process of Mobin petrochemical company.
Mahsa Vajedi, Shahrokh Shahhosseini
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ANFIS Controller for Non-holonomic Robots
Majlesi Journal of Electrical EngineeringIn this paper, a control strategy for a non-holonomic robot based on an Adaptive Neural Fuzzy Inference System is proposed. The neuro-controller makes it possible for the robot to track a given reference trajectory.
Ting Wang +2 more
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A Predictive Controler for Object Tracking of a Mobile Robot [PDF]
, 2008 In this paper a predictive controller for real-time target tracking in mobile robotics is proposed based on adaptive/evolving Takagi-Sugeno fuzzy systems, eTS.
Angelov, Plamen, Wang, Chu, Zhou, Xiao
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Fruit production forecasting by neuro-fuzzy techniques
Neuro-fuzzy techniques are finding a practical application in many fields such as in model identification and forecasting of linear and non-linear systems.
Atsalakis, Ioanna G. +1 more
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