نتایج جستجو برای: eegmeg تحليل مؤلفههای مستقل ica
تعداد نتایج: 260832 فیلتر نتایج به سال:
در این تحقیق مسأله زمانبندی خط جریان مونتاژ دو مرحله¬ای با در نظر¬گرفتن ویژگی عدم قطعیت محیط واقعی از نظر خرابی ماشین¬آلات مورد بررسی قرار¬گرفته و برای این منظور از روش بهینه¬سازی استوار جهت حل مسأله استفاده شده است. با توجه به پیچیدگی ساختاری در مسأله فوق¬الذکر، از طرح ایجاد شکست و ساختار شبیه¬سازی جهت ایجاد طرح شکست و تعمیر ماشین¬آلات استفاده شده است. همچنین الگوریتم¬های فراابتکاری ga و ica ج...
OBJECTIVE The clinical significance of an intramural course (or bridging) of the coronary artery remains controversial. We investigated the relationship between intramural coronary arteries (ICAs) and coronary stenosis and prognosis of subjects with ICA. METHODS AND RESULTS ICA and coronary stenosis were assessed by multidetector computed tomography coronary angiography. ICAs in the left ante...
In this paper a new method is proposed based on the combination of ICA (Imperial Competitive Algorithm) and GA (Genetic Algorithm) which improves the convergence speed and accuracy of the optimization results. The new algorithm, which is named R-ICA-GA (RecursiveICA-GA), runs ICA and GA consecutively. It is shown that a fast decrease occurs while the proposed algorithm switches from ICA to GA. ...
Full-duplex communications systems that transmit and receive simultaneously suffer self-interference due to the mixing of transmitted signal weaker received at same node. The problem becomes compounded in Multi-Input Multi-Output (MIMO) systems, where considerable overhead is dedicated training. In this article, we discuss using blind source separation techniques, namely Independent Component A...
Independent component analysis (ICA) aims to recover a set of unknown mutually independent source signals from their observed mixtures without knowledge of the mixing coefficients. In some applications, it is preferable to extract only one desired source signal instead of all source signals, and this can be achieved by a one-unit ICA technique. ICA with reference (ICA-R) is a one-unit ICA algor...
Permutation ambiguity of the classical ICA may cause problems in feature extraction for pattern classification. To solve that, we include a selective prior for de-mixing coefficients into the classical ICA. Since the prior is constructed upon the classification information from the training data, we refer to the proposed ICA model with a selective prior as a supervised ICA. We formulate the lea...
در سالهای اخیر، انتقال دانش و فناوری به عنوان یکی از کارکردهای اصیل دانشگاهها در کشورهای پیشرفته تلقی شده است که پیامد اصلی آن ایجاد فرصتهای بهتر در تأمین مالی اعتبارات مورد نیاز به ویژه از منابع غیردولتی است. در کشور ما نیز دانشگاههای صنعتی به دلیل ماهیت و توانمندیهای موجود و بالقوه خود از زمینههای مناسبتری برای رشد مقوله تجاریسازی برخوردارند. از این رو، شناخت و بررسی رابطه بین مؤلفههای عملکرد...
Imperialist competitive algorithm (ICA) is a new socio-politically motivated global search strategy. The ICA is applied to hybrid composite laminates to obtain minimum weight and cost. The approach which is chosen for conducting the multi-objective optimization was the weighted sum method (WSM). The hybrid composite Laminates are made of glass/epoxy and carbon/epoxy to combine the lightness and...
We present the new LICAD algorithm to solve the permutation problem of the ICA in the frequency domain and improve the separation quality. In the proposed algorithm, first, the sources' angles are estimated in each frequency bin using an ICA separating matrix. Then, these estimates are compared to the true values obtained from a pre-processing stage. If the difference among similar angles is le...
Optimization of turning process is a non-linear optimization with constrains and it is difficult for the conventional optimization algorithms to solve this problem. The purpose of present study is to demonstrate the potential of Imperialist Competitive Algorithm (ICA) for optimization of multipass turning process. This algorithm is inspired by competition mechanism among imperialists and coloni...
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