نتایج جستجو برای: cellular learning automata
تعداد نتایج: 1046058 فیلتر نتایج به سال:
landsat data for 1992, 2000, and 2013 land use changes for ekbatan dam watershed was simulated through ca-markov” model. two classification methods were initially used, viz. the maximum likelihood (mal) and support vector machine (svm). although both methods showed high overall accuracy and kappa coefficient, visually mal failed in separating land uses, particularly built up and dry lands.there...
In this paper, a new structure for image encryption using hybrid cellular automata is presented. The image encryption is done in two steps. At the first step, each pixel is encrypted by rules of hybrid cellular automata. In the next step, each pixel converted to a binary number and each bit is encrypted by rules of cellular automata. The rules are made by a function. Due to reversibility of cel...
Received 17 Revised Cellular learning automata is a combination of learning automata and cellular automata. 19 This model is superior to cellular learning automata because of its ability to learn and also is superior to single learning automaton because it is a collection of learning 21 automata which can interact together. In some applications such as image processing, a type of cellular learn...
Introduction of micro-cellular networks offer a potential increase in capacity of cellular networks, but they create problems in management of the cellular networks. A solution to these problems is self-organizing channel assignment algorithm with distributed control. In this paper, ''le first introduce the model of cellular learning automata in which learning automata are used to adjust the st...
مقدمه اند. ?? های غیرخطی تشکیل شده ?? ای از زیرسیستم ?? ای هستند که از مجموعه ?? های پیچیده ?? بازارهای سهام سیستم ها و درک ?? های مخصوصبه خود دارد که با استفاده از آن ?? ها و فرمول ?? گذار تحلیل ?? در این سیستم، هر سرمایه گونه فاکتورهای ?? گیرد. این ?? گذاری تصمیم می ?? ی سرمایه ?? خود از رخدادها و شرایط فعلی بازار، درمورد نحوه نامیم [ ?? ،?? ]. در کنار فاکتورهای فیزیکی، عوامل روحی و روانی...
In this paper, we propose a Cellular Edge Detection (CED) algorithm which utilizes Cellular Automata (CA) and Cellular Learning Automata (CLA). The CED algorithm is an adaptive, intelligent and learnable algorithm for edge detection of binary and grayscale images. Here, we introduce a new CA local rule with adaptive neighborhood type to produce the edge map of image as opposed to CA with fixed ...
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