نتایج جستجو برای: neuro fuzzy inference system

تعداد نتایج: 2373594  

Journal: :iranian journal of psychiatry 0
sahar zakeri m.sc., computational neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran. ataollah abbasi associate professor, computational neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran. ateke goshvarpour ph.d. student, computational, neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran.

objective: interest in the subject of creativity and its impacts on human life is growing extensively. however, only a few surveys pay attention to the relation between creativity and physiological changes. this paper presents a novel approach to distinguish between creativity states from electrocardiogram signals. nineteen linear and nonlinear features of the cardiac signal were extracted to d...

Journal: :Expert Syst. Appl. 2008
Yaguo Lei Zhengjia He Yanyang Zi

This paper presents a new approach to intelligent fault diagnosis based on statistics analysis, an improved distance evaluation technique and adaptive neuro-fuzzy inference system (ANFIS). The approach consists of three stages. First, different features, including time-domain statistical characteristics, frequency-domain statistical characteristics and empirical mode decomposition (EMD) energy ...

Journal: :International Journal of Computer Applications 2014

2000

Mixing rubber in an internal mixer is a complex nonlinear process in which viscosity of the rubber is one of the key quantities concerning end product quality. Since viscosity can’t be measured online, soft sensor methods for modelling viscosity are investigated to establish an online control of viscosity. This paper presents a black-box approach to modelling viscosity using an adaptive neuro-f...

2015
Mabrouka Baqqar Van Tung Tran Fengshou Gu Andrew Ball

Condition monitoring of a gearbox is a crucial activity due to its importance in power transmission for many industrial applications. Thus, there has always been a constant pressure to improve measuring techniques and analytical tools for early detection of faults in gearboxes. This study forces to develop the gearbox monitoring methods using the operating parameters obtained from machine contr...

Journal: :Journal of Fundamental and Applied Sciences 2017

Journal: :International Journal of Engineering Research and Applications 2017

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