Results 11 to 20 of about 52,378 (250)

Survey on Neuro-Fuzzy systems and their applications in technical diagnostics and measurement [PDF]

Measurement: Journal of the International Measurement Confederation, 2015
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computational model for classification and estimation, have been used in many application fields since their birth.
Alvanitopoulos, Ayoubi, Berenji, Chatterjee, Chen, Eristi, Evsukoff, Frey, Jang, Jha, Juang, K.B. Kis, Kar, Kasabov, Kasabov, Khoshnevisan, Kohonen, Lee, Lei, Lin, Mahapatra, Mamdani, McCulloch, Moharana, Nuck, Pouran, Roshani, Taghavifar, Takagi, Wali, Wang, Ye, Zadeh, Zhang, Zio, Zs.J. Viharos, Übeyli   +36 more
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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
doaj   +1 more source

An outlier–robust neuro–fuzzy system for classification and regression

International Journal of Applied Mathematics and Computer Science, 2021
Real life data often suffer from non-informative objects—outliers. These are objects that are not typical in a dataset and can significantly decline the efficacy of fuzzy models.
Siminski Krzysztof
doaj   +1 more source

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, Agustin Gajate, Andres Bustillo, B. Sick, D. Dimla, D. Dinakaran, E. D. Ubeyli, E. M. Rubio, G. Warnecke, J. A. Perez, J. Jang, J. Sargolzaei, J. Sjoberg, J. V. Abellan-Nebot, L. Heyer, M. A. Denai, M. Cakmakci, M. Hayati, M. J. Watts, N. Kasabov, Pastora Vega, Q. Song, Raul del Toro, Rodolfo Haber, S. Y. Liang, V. S. Sharma, V. S. Sharma, V. Sharma, X. Li, X. Li, X. Wang   +30 more
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The Implementation of The Neuro Fuzzy Method Using Information Gain for Improving Accuracy in Determination of Landslide Prone Areas

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, Much Aziz Muslim, Endang Sugiharti   +2 more
doaj   +1 more source

Neuro-Fuzzy Computing System with the Capacity of Implementation on Memristor-Crossbar and Optimization-Free Hardware Training [PDF]

, 2012
In this paper, first we present a new explanation for the relation between logical circuits and artificial neural networks, logical circuits and fuzzy logic, and artificial neural networks and fuzzy inference systems.
Merrikh-Bayat, Farnood, Merrikh-Bayat, Farshad, Shouraki, Saeed Bagheri   +2 more
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Design and implementation of adaptive neuro-fuzzy inference system for the control of an uncertain ball and beam apparatus

Mehran University Research Journal of Engineering and Technology, 2022
Controlling an uncertain mechatronic system is challenging and crucial for its automation. In this regard, several control-strategies are developed to handle such systems.
Muhammad Khurram Saleem, Muhammad Laiq Ur Rahman Shahid, Ahmed Nouman, Hammad Zaki, Muhammad Atiq Ur Rehman Tariq   +4 more
doaj   +1 more source

Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems [PDF]

, 2018
Safe and reliable operation of power plants invariably relies on the structural integrity assessments of pressure vessels and piping systems. Welded joints are a potential source of failure, because of the combination of the variation in mechanical ...
Ahmadzadeh, Alamaniotis, Bate, Bishop, Bouchard, Bouchard, Chaki, Edwin Raja Dhas, Edwin Raja Dhas, Hornik, Hutchings, J. Griffin, J. Mathew, Jang, Jang, Kolehmainen, Koo, Lindgren, M. Alamaniotis, M.E. Fitzpatrick, Mathew, Mathew, MATLAB, Na, Prauzek, Precup, Prime, Riedmiller, Rumelhart, S. Kanarachos, Smith, Smith, Smith, Smith, Smith, Song, Takagi, Toktaş, Tsoukalas   +38 more
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Fuzzy Logic Systems for Diagnosis of Renal Cancer

Applied Sciences, 2020
Renal cancer is a serious and common type of cancer affecting old ages. The growth of such type of cancer can be stopped by detecting it before it reaches advanced or end-stage.
Nikita Jindal, Jimmy Singla, Balwinder Kaur, Harsh Sadawarti, Deepak Prashar, Sudan Jha, Gyanendra Prasad Joshi, Changho Seo   +7 more
doaj   +1 more source

Modeling human behavior in user-adaptive systems: recent advances using soft computing techniques [PDF]

, 2005
Adaptive Hypermedia systems are becoming more important in our everyday activities and users are expecting more intelligent services from them. The key element of a generic adaptive hypermedia system is the user model.
Chen, S., Frias-Martinez, E., Macredie, R., Magoulas, George D.   +3 more
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