نتایج جستجو برای: mlff n eural network

تعداد نتایج: 1611241  

Journal: :iranian journal of radiation research 0
p. abdolmaleki dept. of biophysics, tarbiat modarres university, tehran, iran m. yarmohammadi m. gity

background: we designed an algorithmic model based on the logistic regression analysis and a non-algorithmic model based on the artificial neural network (ann). materials and methods: the ability of these models was compared together in clinical application to differentiate malignant from benign breast tumors in a study group of 161 patients' records. each patient’s record consisted of 6 s...

2006
helley E. Taylor Naomi I. Eisenberger Darby Saxbe Barbara J. Lehman Matthew D. Lieberman

ackground: An early family environment marked by harsh parenting has been related to risk for multiple mental disorders in dulthood, risks that may be mediated, in part, by deficits in emotion regulation skills. This study examined neural mechanisms nderlying these consequences of “risky” families (RF) by exploring neural activity to tasks involving responses to emotional stimuli. ethods: Parti...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت مدرس 1382

‏‎the main purpose of this research was to:1.develop a coking model for thermal cracking of naphtha.2.study coke inhibition methods using different coke inhibitors.developing a coking model in naphtha cracking reactors requires a suitable model of the thermal cracking reactor based on a reliable kinetic model.to obtain reliable results all these models shall be solved simultaneously.for this pu...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1393

due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...

Journal: :Linear Algebra and its Applications 2019

Journal: :Applied sciences 2022

Knowledge graph-based recommendation methods are a hot research topic in the field of recommender systems recent years. As mainstream knowledge method, propagation-based method captures users’ potential interests items by integrating representations entities and relations graph high-order connection patterns between to provide personalized recommendations. For example, collaborative knowledge-a...

Journal: :Acta Crystallographica Section A Foundations and Advances 2020

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