Amaç -Bu çalışmanın amacı; dünya borsalarının finansal türev ürün kullanım düzeyini tespit etmektir. Bu tespiti gerçekleştirmek için 2015-2019 yılları arasını içeren 5 yıllık veriler yardımıyla endeksi oluşturulmuştur.Yöntem -Endeks oluşumunda bileşik yöntemler kullanılmıştır. yöntemlerden biri olan Evaluation Method Based on the Distance from Average Solution (EDAS) yöntemi tercih edilmiş ve E...

Bu çal??ma, bulan?k analitik hiyerar?i prosesi (AHP), hata türleri ve etkileri analizi (HTEA) ortalama çözüm uzakl???na göre de?erlendirme (EDAS) yöntemini kombine eden bir karar verme yakla??m? ile metalik biyomalzemeleri incelemektedir. Çal??mada, paslanmaz çelik, titanyum kobalt-krom ala??mlar? alt? ana kriter, otuz alt kriter üç risk faktörü kullan?larak de?erlendirilmi?tir. Bulan?k AHP yön...

هدف: هدف از این پژوهش بررسی واسطه‌­ای راهبردهای سازش نایافته تنظیم شناختی هیجان در رابطه باورهای فراشناختی با اضطراب امتحان بود. روش: روش حاضر توصیفی و نوع همبستگی جامعه آماری را کلیه دانش‌­آموزان پسر دوره دوم متوسطه شهر تهران سال تحصیلی 1401-1400 تشکیل دادند که تعداد 456 نفر به نمونه‏‌گیری دسترس انتخاب شرکت کردند. ابزارها شامل سیاهه ابوالقاسمی همکاران (1375)، پرسشنامه باکو دیگران (2009)، فرم ک...

OBJECT Revascularization for moyamoya disease, either by direct anastomosis or indirect procedures, is an accepted and effective form of treatment for prevention of future ischemic events. Indirect procedures do not provide sufficient collateral vessels in a subset of patients, who then have persistent or new symptoms. Repeat revascularization procedures may be recommended for these patients. ...

Evolutionary computation is a discipline that has been emerging for at least 40 or 50 years. All methods within this discipline are characterized by maintaining a set of possible solutions (individuals) to make them successively evolve to fitter solutions generation after generation. Examples of evolutionary computation paradigms are the broadly known Genetic Algorithms (GAs) and Estimation of ...

The probabilistic model building performed by estimation of distribution algorithms (EDAs) enables these methods to use advanced techniques of statistics and machine learning for automatic discovery of problem structures. However, in some situations, it may not be possible to completely and accurately identify the whole problem structure by probabilistic modeling due to certain inherent propert...

Prediction of the secondary structure of a protein from its aminoacid sequence remains an important and difficult task. Up to this moment, three generations of Protein Secondary Structure Algorithms have been defined: The first generation is based on statistical information over single aminoacids, the second generation is based on windows of aminoacids –typically 11-21 aminoacids– and the third...

We consider the distributed optimization problem where $n$ agents, each possessing a local cost function, collaboratively minimize average of functions over connected network. Assuming stochastic gradient information is available, we study algorithm, called exact diffusion with adaptive stepsizes (EDAS) adapted from Exact Di...

This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions to generate a new population of solutions. We call it Reinforcement Learning Estimation of Distribution Algorithm (RELEDA). For the estimation of the joint probability distribution we consider each variable as univariate. Then ...