نتایج جستجو برای: modified adaptive method
تعداد نتایج: 1989619 فیلتر نتایج به سال:
Clustering is a key data mining problem. Density and grid based technique is a popular way to mine clusters in a large multi-dimensional space wherein clusters are regarded as dense regions than their surroundings. The attribute values and ranges of these attributes characterize the clusters. Fine grid sizes lead to a huge amount of computation while coarse grid sizes result in loss in quality ...
خصوصیات هر سطح گسترده ی موجود در تصاویر sar به وسیله ی ضریب بازپراکنش (?^0) و بافت آن سطح قابل شناسایی است. اما دقت برآورد این پارامترها در هر پیکسل از این تصاویر توسط پدیده نویزگون speckle کاهش می یابد. این پدیده که حاصل برهم نهی سازنده یا ویرانگر امواج بازپراکنش شده از سطح جسم می باشد، در تصویر به صورت لکه های روشن و تاریک دیده می شود. وجود speckle در تصاویر sar تا حدی اجتناب ناپذیر است که می...
nonlinear static procedure (nsp) is a common technique to predict seismic demands on various building structures by subjecting a monotonically increasing horizontal loading (pushover) to the structure. therefore, the pushover analysis is an important part of each nsp. accordingly, the current paper aims at investigating the efficiencyof various algorithms of lateral load patterns applied to the...
This paper addresses the development of the modified adaptive dynamic relaxation (maDR) method. Through a critical review of the merits and disadvantages of previous studies, the primary physical approaches for improving the efficiency of the method are discussed. Emphases are placed on the selection of initial vectors and the calculation of fictitious damping factors. A variety of engineering ...
Because an electric scooter driven by permanent magnet synchronous motor (PMSM) servo-driven system has the unknown nonlinearity and the time-varying characteristics, its accurate dynamic model is difficult to establish for the design of the linear controller in whole system. In order to conquer this difficulty and raise robustness, a novel adaptive modified recurrent Legendre neural network (N...
Three-dimensional (3D) reconstruction of electron tomography (ET) has emerged as an important technique in analyzing structures of complex biological samples. However most of existing reconstruction methods are not suitable for extremely noisy and incomplete data conditions. We present an adaptive simultaneous algebraic reconstruction technique (ASART) in which a modified multilevel access sche...
Computation offloading is known to be among the effective solutions of running heavy applications on smart mobile devices. However, irregular changes of a mobile data rate have direct impacts on code partitioning when offloading is in progress. It is believed that once a rate-adaptive partitioning performed, the replication of such substantial processes due to bandwidth fluctuation can be avoid...
Various compliant mechanism synthesis methods have been developed over the past decade; however, very little attention has been directed towards adaptive shape change problems. In this paper, we present a systematic method for synthesizing compliant mechanisms to morph a given curve or profile into a target curve utilizing minimum number of actuators (typically one). Two objective functions are...
In this paper, an improved adaptive monopulse scheme based on modified projection approximation subspace tracking deflation (MPASTd) approach is proposed. Owing to the fast convergence speed of MPASTd for recursively estimating the interference subspace, the proposed algorithm can obtain the formula for adaptive monopulse ratio calculation by a subspace projection. Therefore, it is able to accu...
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