نتایج جستجو برای: neural tensor network

تعداد نتایج: 871957  

Journal: :The British journal of psychiatry : the journal of mental science 2011
Kathrin Koch Gerd Wagner Claudia Schachtzabel C Christoph Schultz Daniel Güllmar Jürgen R Reichenbach Heinrich Sauer Ralf G M Schlösser

BACKGROUND Schizophrenia is associated with often widespread changes in white matter structure. Most studies have investigated changes in fractional anisotropy, whereas alterations in radial or axial diffusivity have barely been investigated until now. AIMS To investigate radial diffusivity as a potential marker of dysmyelination in direct relation to abnormalities in neural activation. MET...

Today for the expedition of the identification and timely correction of process deviations, it is necessary to use advanced techniques to minimize the costs of production of defective products. In this way control charts as one of the important tools for the statistical process control in combination with modern tools such as artificial neural networks have been used. The artificial neural netw...

Journal: :ژورنال بین المللی پژوهش عملیاتی 0
s. m. taghavi takyar r. aghajan nashtaei e. chirani

one of the most important issues always facing banks and financial institutes is the issue of credit risk or the possibility of failure in the fulfillment of obligations by applicants who are receiving credit facilities. the considerable number of banks’ delayed loan payments all around the world shows the importance of this issue and the necessary consideration of this topic. accordingly, many...

In this paper, a novel hybrid method based on learning algorithmof fuzzy neural network and Newton-Cotesmethods with positive coefficient for the solution of linear Fredholm integro-differential equation of the second kindwith fuzzy initial value is presented. Here neural network isconsidered as a part of large field called neural computing orsoft computing. We propose alearning algorithm from ...

Journal: :پژوهش های جغرافیای طبیعی 0
مژگان احمدی ندوشن علیرضا سفیانیان سیدجمال الدین خواجه الدین

land cover map is important for many urban planning and management activities. in this study, in order to produce land cover map of arak city, digital image of liss-iii scanner acquired on 16 june 2006 were employed. first of all, geometric correction with rmse 0.58 pixel was applied. considering the mountainous condition of the study area, topographic correction was applied to the image. in su...

Journal: :مهندسی صنایع 0
سهراب پوررضا دانشجوی کارشناسی ارشد فناوری اطلاعات- دانشگاه تربیت مدرس حسین اکبری پور دانش آموخته کارشناسی ارشد مهندسی صنایع- دانشگاه تربیت مدرس محمدرضا امین ناصری دانشیار بخش مهندسی صنایع- دانشگاه تربیت مدرس

in today’s business competitive world, decision makers of companies try to employ standard, efficient, theoretical and operational proven methods as a competitive advantage for making their critical strategic business decisions in order to survive in their industry. in this paper, a hybrid model based on fuzzy analytic hierarchy process (fahp) and artificial neural network (ann) is presented. t...

Classrooms, as one of the most important educational environments, play a major role in the learning and academic progress of students. reverberation time, as one of the most important acoustic parameters inside rooms, has a significant effect on sound quality. The inefficiency of classical formulas such as Sabin, caused this article to examine the use of machine learning methods as an alternat...

Journal: :journal of the structural engineering and geotechnics 0
hassan aghabarati department of civil and architectural engineering, islamic azad university, qazvin branch, iran mohsen tabrizizadeh department of civil and environmental engineering, amirkabir university of technology, tehran, iran

this paper presents the application of three main artificial neural networks (anns) in damage detection of steel bridges. this method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. the changes in structural response is used to identify the states of structural damage. to circumvent the difficulty arising from the non-linear n...

ژورنال: سلامت و محیط زیست 2015
جعفری , حمیده , رجایی, طاهر , رحیمی بنماران, رقیه,

Background & Objectives: The prediction and quality control of the Karaj River water, as one of the important needed water supply sources of Tehran, possesses great importance. In this study, performance of artificial neural network (ANN), combined wavelet-neural network (WANN), and multi linear regression (MLR) models were evaluated to predict next month nitrate and dissolved oxygen of “Pole K...

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