Results 51 to 60 of about 63,417 (204)
Neuro-fuzzy dual-mode control of travelling-wave ultrasonic motors [PDF]
, 1999 With their significant advantages over traditional electromagnetic motors, ultrasonic motors (USMs) are becoming attractive. This paper presents a neuro-fuzzy dual-mode controller, combining the knowledge-based fuzzy logic and the learning-incorporated ...
Chan, CC, Chau, KT, Chung, SW
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Comparison Of Incomplete Data Handling Techniques For Neuro-Fuzzy System
Computer Science, 2014 Real-life data sets sometimes miss some values. The incomplete data needs specialized algorithms or preprocessing that allows the use of the algorithms for complete data.
Marcin Sikora, Krzysztof Simiński
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Adaptive neuro-fuzzy controller of switched reluctance motor [PDF]
Serbian Journal of Electrical Engineering, 2007 This paper presents an application of adaptive neuro-fuzzy (ANFIS) control for switched reluctance motor (SRM) speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks.
Tahour Ahmed +2 more
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A neuro-fuzzy approach as medical diagnostic interface [PDF]
, 2010 In contrast to the symbolic approach, neural networks seldom are designed to explain what they have learned. This is a major obstacle for its use in everyday life.
Brause, Rüdiger W., Friedrich, F.
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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
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WRNFS: Width Residual Neuro Fuzzy System, a Fast-Learning Algorithm with High Interpretability
Applied Sciences, 2022 Although the deep neural network has a strong fitting ability, it is difficult to be applied to safety-critical fields because of its poor interpretability. Based on the adaptive neuro-fuzzy inference system (ANFIS) and the concept of residual network, a
Lingkun Kong, Dewang Chen, Ruijun Cheng
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VLSI design of universal approximator neuro-fuzzy systems [PDF]
, 2001 Neuro-fuzzy systems can theoretically solve any problem since they are universal approximators. Besides, they combine the advantages of the neuro and fuzzy paradigms.
Barriga Barros, Ángel +5 more
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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. +3 more
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Electrical engineering & ElectromechanicsIntroduction. When the working point of the indirect vector control is constant, the conventional speed and current controllers operate effectively. The operating point, however, is always shifting.
G. Srinivas +2 more
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IEEE Access, 2020 In complex industrial processes (CIPs), due to technical and economic limitations, key performance indicators (KPIs), especially the chemical content-related KPIs, are often difficult to measure in real time, which hinders the propagation of advanced ...
Jinping Liu +5 more
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