نتایج جستجو برای: computational complexity
تعداد نتایج: 530975 فیلتر نتایج به سال:
In combinatorial reconfiguration, the reconfiguration problems on a vertex subset (e.g., an independent set) are well investigated. these problems, some tokens placed of vertices graph, and there three natural rules called ``token sliding,'' jumping,'' addition removal''. context computational complexity puzzles, sliding block puzzles play important role. Depending set pieces, characterize clas...
We consider a computational model which is known as set automata. The automata are one-way finite with additional storage—the set. There two kinds of automata—deterministic (DSA's) and nondeterministic (NSA's). was introduced by Kutrib, Malcher, Wendlandt in 2014. It shown that DSA-recognizable languages look similar to DCFL's NSA-recognizable CFL's. In this paper, we extend similarity prove re...
اخیرا توجه فراوانی به کاربردهای نظریه مشبکه به ویژه مشبکه های فازی در زمینه های مختلف از جمله شبکه های عصبی شده است. یک مشبکه فازی از فازی سازی اندازه گیری شمول یک مشبکه معمولی ایجاد می گردد. شبکه های عصبی مبتنی بر مشبکه قادر به حل بسیاری از مسائل غیر خطی بوده و تا کنون در بسیاری از مسائل کاربردی مورد استفاده واقع شده اند. آنچه که در این پایان نامه مورد بررسی قرار می گیرد توسیعی از شبکه های عصب...
one of the problems associated with adaptive fir filters in the identification of systems with long impulse responses, is their excessive computational complexity. recently a new kind of adaptive filters, based on three-level clipping of the input signal has been presented for reduction of their computational complexity. in this paper, a theoretical analysis of the steady-state misalignment of ...
this study investigated the effects of manipulating the cognitive complexity of tasks along +/- few elements and the time limits on l2 learners writing performance. to conduct the study, 60 iranian efl learners with two levels of proficiency, low and high intermediate, were selected and assigned to three groups based on the time devoted to task completion. the participants performed both a simp...
In this paper, a sparse representation based manifold learning method is proposed. The construction of the graph manifold in high dimensional space is the most important step of the manifold learning methods that is divided into local and gobal groups. The proposed graph manifold extracts local and global features, simultanstly. After construction the sparse representation based graph manifold,...
In this paper we propose the spatial sparsity based WCSSDOA method for multi speakers' Direction of arrival estimation. In the proposed method the sparse modeling is done based on the sensor signals' correlation matrix, which leads to low computational complexity. In this method the SVD decomposition of the noise covariance matrix is proposed to reach the free noise sparse model, which leads to...
Optimum laminate configuration for minimum weight of filament–wound laminated conical shells subject to buckling load constraint is investigated. In the case of a laminated conical shell the thickness and the ply orientation (the design variables) are functions of the shell coordinates, influencing both the buckling load and its weight. These effects complicate the optimization problem consider...
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