Results 91 to 100 of about 12,863 (232)
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.
openaire +1 more source
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
core
Developed adaptive neuro-fuzzy inference system (ANFIS) structure.
, 2015 Developed adaptive neuro-fuzzy inference system (ANFIS) structure.
Changho Jhin (814959) +1 more
core +1 more source
Adaptive neuro fuzzy inference system untuk peramalan jumlah wisatawan
, 2020 Adaptive Neuro Fuzzy Inference System(ANFIS) yaitu metode yang menggabungkan metode-metode yang ada pada softcomputing. Softcomputing yaitu pemodelan dengan pendekatan seperti nalar dari manusia dan belajar sesuai kondisi yang tidak pasti yang fleksibel ...
Sugiyarto, Sugiyarto +1 more
core +1 more source
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
doaj
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
doaj +1 more source
Matrix formulation of fuzzy rule-based systems
, 1996 In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks.
Lotfi, A, Andersen, HC, Tsoi, AC
core
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
core +1 more source
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
doaj
, 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
core