Results 41 to 50 of about 54,763 (263)
PLoS ONE, 2018 In this paper, the suitability and performance of ANFIS (adaptive neuro-fuzzy inference system), ANFIS-PSO (particle swarm optimization), ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) has been investigated for the prediction of ...
Monowar Hossain +7 more
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Electric vehicle battery model identification and state of charge estimation in real world driving cycles [PDF]
, 2015 This paper describes a study demonstrating a new method of state-of-charge (SoC) estimation for batteries in real-world electric vehicle applications. This method combines realtime model identification with an adaptive neuro-fuzzy inference system (ANFIS)
Auger, Daniel J. +2 more
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Applied Sciences, 2022 Electricity has become an important concern in today’s society. This is due to the fact that the electric grid now has a greater number of non-linear components. The AC-powered locomotive is one of these non-linear components.
Manuela Panoiu +2 more
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Prediction in Photovoltaic Power by Neural Networks [PDF]
, 2017 The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Altilio, Rosa +3 more
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Journal of Water and Climate Change, 2022 Improving the performance of machine learning (ML) algorithms is essential for accurately estimating water quality parameters (WQPs). For the first time, a novel hybrid framework, namely the adaptive neural fuzzy inference system–discrete wavelet ...
Mojtaba Kadkhodazadeh, Saeed Farzin
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A review of training methods of ANFIS for applications in business and economic [PDF]
, 2016 Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics.
Hussain, Kashif, Mohd Salleh, Mohd Najib
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Analysis and Application of Advanced Control Strategies to a Heating Element Nonlinear Model [PDF]
, 2017 open4siSustainable control has begun to stimulate research and development in a wide range of industrial communities particularly for systems that demand a high degree of reliability and availability (sustainability) and at the same time characterised by
Gokcen Akkurt, G. +3 more
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Modelling of Nicotiana Tabacum L. Oil Biodiesel Production: Comparison of ANN and ANFIS
, 2021 Among the modern computational techniques, the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are preferred because of their ability to deal with non-linear modeling and complex stochastic dataset.
O. Samuel +5 more
semanticscholar +1 more source
IEEE Access, 2020 In this paper, a new hybrid model is proposed using Subset Selection by Maximum Dissimilarity (SSMD) and adaptive neuro-fuzzy inference system (ANFIS) hybridized with the firefly algorithm (FFA) to predict the longitudinal dispersion coefficient (Kx ...
Hossien Riahi-Madvar +4 more
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Estimation of pile settlement socketed to rock applying hybrid ALO-ANFIS and GOA-ANFIS approaches
Journal of Applied Science and Engineering, 2022 Pile settlement (SP) socketed to rock has received substantial attention. Despite introducing some design methods of SP prediction, considering the novel and practical predicting model with satisfactory performance is pivotal.
Dai Yu
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