نتایج جستجو برای: a neuro

تعداد نتایج: 13436951  

Journal: :فیزیک زمین و فضا 0
علیرضا حاجیان عضو هیئت علمی دانشکده علوم پایه دانشگاه آزاد واحد نجف آباد حسین زمردیان عضو هیئت علمی دانشگاه آزاد اسلامی واحد علوم وتحقیقات

in common classical methods of cavity depth estimation through microgravity data, usually when a pre-geometrical model is considered for the cavity shape, the simple geometrical models of sphere, vertical cylinder and horizontal cylinder are commonly used. it is obviously an important fact that in real conditions the shapes of the cavities are not exactly sphere, horizontal cylinder or vertical...

2012
T. D. Dongale R. R. Mudholkar

T. D. Dongale, T .G. Kulkarni, S.R.Jadhav, S.V.Kulkarni, R. R. Mudholkar Reserch Student, Department of Electronics, Shivaji University, Kolhapur, India, [email protected] Reserch Student, Department of Electronics, Shivaji University, Kolhapur, India, [email protected] Reserch Student, Department of Electronics, Shivaji University, Kolhapur, India, [email protected] Reserch ...

2009
Larbi Esmahi Kristian Williamson Elarbi Badidi

2002
Daniel Neagu Emilio Benfenati Giuseppina C. Gini Paolo Mazzatorta Alessandra Roncaglioni

Models based on neural and neuro-fuzzy structures are developed to represent knowledge about a large data set containing chemical descriptors of organic compounds, commonly used in industrial processes. The neuro-fuzzy models here proposed include both, QSARs and original numerical values. The developed approaches use various techniques to insert knowledge by training, and to map rules in neuro...

2009
Marley M. B. R. Vellasco Marco Aurélio Cavalcanti Pacheco Karla Figueiredo Flávio Joaquim de Souza

Neuro-fuzzy [Jang,1997][Abraham,2005] are hybrid systems that combine the learning capacity of neural nets [Haykin,1999] with the linguistic interpretation of fuzzy inference systems [Ross,2004]. These systems have been evaluated quite intensively in machine learning tasks. This is mainly due to a number of factors: the applicability of learning algorithms developed for neural nets; the possibi...

2001
E. VAUCHER P. PIERRET J.-P. JULIEN G. A. KUCHEL

ÐEstrogens can in ̄uence the survival, plasticity and function of many adult neurons. Many of these effects, such as neurite outgrowth and increased dendritic spine density, are mediated by changes in neuronal cytoskeletal architecture. Since neuro®lament proteins play a key role in the maintenance and remodeling of the neuronal cytoskeleton, we postulated that changes in neuro®lament light chai...

2014
Felix Duecker Tom A. de Graaf Alexander T. Sack

Neuro-enhancement by non-invasive brain stimulation (NIBS) has recently made considerable progress, triggering discussions regarding future applications to enhance human performance. We show that neuroscientific research does not aim at improving brain functions per se. Instead, neuro-enhancement is a research tool that has great potential to reveal the neural mechanisms underlying perception, ...

2013
Newton Maruyama

Although neuro-fuzzy models and other similar modeis have great flexibility they also have drawbacks, especially for systems which have high uncertainty associated . This paper points out which are the major drawbacks of neuro-fuzzy models and proposes a methodology to design fault detectors in uncertain systems using neuro-fuzzy models. The coolíng coil of an air-conditioning system is used as...

2017
Rui Yang Wei Chen Ye Lu Yingke Li Hongli Du Songyan Gao Xin Dong Hongbin Yuan

Sepsis, in addition to causing fatality, is an independent risk factor for cognitive impairment among sepsis survivors. The pathologic mechanism of endotoxemia induced acute neuro-inflammation still has not been fully understood. For the first time, we found the disruption of neurotransmitters 5-HT, impaired neurogenesis and activation of astrocytes coupled with concomitant neuro-inflammation w...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده علوم پایه 1390

مدل های deaبه منظورآنالیز کارایی نسبی داده های ورودی وخروجی های چند گانه وکاربرد این مدلها در مسائل دسته بندی است و محدودیت های خاص و ویژه ای را مطرح می کند.انگیزه اولیه برای این تحقیق غلبه بر برخی محدودیت های رایج مدل های deaاست، به طوری که این مدل ها بتوانندبرای بازه گسترده ای از مسائل دسته بندی و رتبه بندی مورد استفاده قرار گیرند.یکی از عمده ترین مشکلات استفاده از تحلیل پوششی داده ها ضعف قدر...

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