Results 11 to 20 of about 53,858 (257)
Neuro-fuzzy modeling and control [PDF]
Proceedings of the IEEE, 1995 Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which unifies both neural networks and fuzzy models.
Jyh-Shing Roger Jang, Chuen-Tsai Sun
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Neuro fuzzy control of the FES assisted freely swinging leg of paraplegic subjects [PDF]
, 1996 The authors designed a neuro fuzzy control strategy for control of cyclical leg movements of paraplegic subjects. The cyclical leg movements were specified by three `swing phase objectives', characteristic of natural human gait.
Spek, Jaap H. van der +3 more
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Scientific Journal of Informatics, 2019 The accuracy of information is increasing rapidly as technological development. For the example, the information in determination of disaster severity. The disasters that can be determined is landslide. This determination can be conducted using the fuzzy
Winda Try Astuti +2 more
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Response surface methodology and adaptive neuro-fuzzy inference system for adsorption of reactive orange 16 by hydrochar [PDF]
Global Journal of Environmental Science and Management, 2023 BACKGROUND AND OBJECTIVES: The prediction models, response surface methodology and adaptive neuro-fuzzy inference system are utilized in this study. This study delves into the removal efficiency of reactive orange 16 using hydrochar derived from the ...
J. Oliver Paul Nayagam, K. Prasanna
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GrNFS: A Granular Neuro–Fuzzy System for Regression in Large Volume Data
International Journal of Applied Mathematics and Computer Science, 2021 Neuro-fuzzy systems have proved their ability to elaborate intelligible nonlinear models for presented data. However, their bottleneck is the volume of data. They have to read all data in order to produce a model.
Siminski Krzysztof
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Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process [PDF]
, 2012 Tool wear detection is a key issue for tool condition monitoring. The maximization of useful tool life is frequently related with the optimization of machining processes.
A. G. Rehorn +30 more
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Neuro-Fuzzy Systems Approaches
Journal of Advanced Computational Intelligence and Intelligent Informatics, 1999 Two major approaches to neuro-fuzzy systems are distinguished in the paper. The previous one refers to fuzzy neural networks, which are neural networks with fuzzy signals, and/or fuzzy weights, as well as fuzzy transfer functions. The latter approach concerns neuro-fuzzy systems in the form of multilayer feed-forward networks, which differ from ...
Danuta Rutkowska, Yoichi Hayashi
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Klasifikasi Kinerja Pegawai Universitas X dengan pendekatan Neuro-Fuzzy
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2018 —classification of employee performance of university x is the basis of policy recommendation of career system, this is done every year with certain method, the use of this method to estimate classification of employee performance still have high ...
Ronald Dwi Nompunu +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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Design and Optimization of a Neuro-Fuzzy System for the Control of an Electromechanical Plant
Applied Sciences, 2022 One characteristic of neuro-fuzzy systems is the possibility of incorporating preliminary information in their structure as well as being able to establish an initial configuration to carry out the training.
Helbert Espitia +2 more
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