نتایج جستجو برای: neuro
تعداد نتایج: 19724 فیلتر نتایج به سال:
I nterest in neuro-ophthalmology in France dates back to the 19th century with the publications by an ophthalmologist, Henri Parinaud, a collaborator of Jean-Martin Charcot in Paris. At that time, a physiologist, Claude Bernard, and a neurologist, Eugène Devic, participated in the description of various neuro-ophthalmologic syndromes. In the 1930s, academic neurologists in Paris, including Pier...
See the abstract for Chapter D1. Relatively early in neural network research there emerged an interest in analyzing and designing layered, feedforward networks augmented by some formalism stemming from the theory of fuzzy sets. One of B2.3 the first approaches was the fuzzification of the binary McCulloch–Pitts neuron (Lee and Lee 1975). B1.2 Then, several researchers looked at a typical feedfo...
The latest advances in cognitive psychology, neuropsychology, and cognitive neuroscience has brought from science fiction to reality the possibility of influencing our brain activity (Owen et al., 2010; Glannon, 2014; Gruzelier, 2014a). Better understanding of brain functioning and brain plasticity has allowed neuroscientists to transfer findings from fundamental research to education and to th...
0957-4174/$ see front matter 2009 Elsevier Ltd. A doi:10.1016/j.eswa.2009.02.043 * Corresponding author. Tel.: +3
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 ...
In this paper, a novel self-generating neuro-fuzzy system through reinforcements is proposed. Not only the weights of the network but also the architecture of the whole network are all learned through reinforcement learning. The proposed neuro-fuzzy system is applied to the inverted pendulum system to demonstrate its performance. Key-words: reinforcement learning, neural network, neuro-fuzzy sy...
Behçet's disease (BD) is a multisystemic disease that is very rare in Malaysia. About 5% of patients develop central nervous system involvement, termed neuro-Behçet's. Neuro-Behçet's is one of the most serious causes of long-term morbidity and mortality. We report two cases of neuro-Behçet's associated with uveitis (ocular BD) highlighting the clinical presentation, diagnostic measurement, and ...
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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