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Multilayer Evolving Fuzzy Neural Networks
IEEE Transactions on Fuzzy Systems, 2023 It is widely recognised that learning systems have to go deeper to exchange for more powerful representation learning capabilities in order to precisely approximate nonlinear complex problems. However, the best known computational intelligence approaches with such characteristics, namely, deep neural networks, are often criticised for lacking ...
Xiaowei Gu +3 more
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IEEE Access, 2021 A fuzzy multiple hidden layer neural sliding mode control with multiple feedback loop (FMHLNSMCMFL) is proposed for a single-phase active power filter (APF), where a sliding mode controller is designed to make the current tracking error converge to zero ...
Jie Zhuo, Cuicui An, Juntao Fei
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Alexandria Engineering Journal, 2020 To ensure safety of maintenance of refinery unit and improve reliability of refinery unit, the risk assessment model of refinery unit maintenance is established based on fuzzy second generation curvelet neural network optimized by improved firefly ...
Bin Zhao +3 more
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Dissolved oxygen prediction using a possibility theory based fuzzy neural network [PDF]
Hydrology and Earth System Sciences, 2016 A new fuzzy neural network method to predict minimum dissolved oxygen (DO) concentration in a highly urbanised riverine environment (in Calgary, Canada) is proposed. The method uses abiotic factors (non-living, physical and chemical attributes) as inputs
U. T. Khan, C. Valeo
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Beni-Suef University Journal of Basic and Applied Sciences, 2017 In this paper, a novel hybrid method based on interval-valued fuzzy neural network for approximate of interval-valued fuzzy regression models, is presented. The work of this paper is an expansion of the research of real fuzzy regression models.
Somaye Yeylaghi +2 more
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Fuzzy relational neural network
International Journal of Approximate Reasoning, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CIARAMELLA A. +3 more
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Journal of Computing Research and Innovation, 2021 Natural rubber is one of the most important crops in Malaysia alongside palm oil, cocoa, paddy, and pineapple. Being a tropical country, Malaysia is one of the top five exporters and producers of rubber in the world. The purpose of this study is to find
Siti Nor Nadrah Muhamad +3 more
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A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction [PDF]
, 2019 In spite of its importance, passenger demand prediction is a highly challenging problem, because the demand is simultaneously influenced by the complex interactions among many spatial and temporal factors and other external factors such as weather.
Han, Zhu +4 more
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Сучасний стан наукових досліджень та технологій в промисловості, 2020 The subject of research in the article are the processes of formalization of the pixel-by-pixel classification problem using the modified fuzzy neural production network of Wang-Mendel for segmentation of urban structures in the automated analysis of ...
Oleksii Kolomiitsev +1 more
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Fuzzy graphs in fuzzy neural networks [PDF]
Proyecciones (Antofagasta)In this paper we observe that, the fuzzy neural network architecture is isomorphic to the fuzzy graph model and the output of a fuzzy neural network with OR fuzzy neuron is equal to the strength of strongest path between the input layer (particular input neuron/neurons) and the out put layer(particular output neuron).
Sameena, K, S. Sunitha, M
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