نتایج جستجو برای: weighting factor method
تعداد نتایج: 2400479 فیلتر نتایج به سال:
A technique used to assess relative performance in a multiple input–output framework is data envelopment analysis (DEA). In basic DEA models, an entitymay show its best performanceby selecting input and output factor weights different from those selected by the other entities in thesample. Hence, when usingbasic DEAmodels, divergence of weighting schemesacross the assessedentitiescannot beruled...
As wellactual clustering algorithms have to deal with explosive growth of documents of various sizes and terms of various frequencies, an appropriate term-weighting scheme has a crucial impact on the overall performance of such systems. Term-weighting is one of the critical process for document retrieval and ranking in most search result clustering systems. In this paper we introduce a new tech...
In this paper a new method for the design of a linear phase distributed amplifier in 180nm CMOS technology is presented. The method is based on analogy between transversal filters and distributed amplifiers topologies. In the proposed method the linearity of the phase at frequency range of 0-50 GHz is obtained by using proper weighting factors for each gain stage in cascaded amplifier topology....
Background and aims: Crashes and its related human and financial losses have been turned to be one of the challenges of human societies so that road death statistics shows a high number of 219172 in Iran from 2005 to 2014. Methods: In this research, using global and valid Road Safety Development Index (RSDI) that illustrates general roads safety condition and consists of nine effective par...
A weighted parallel factor analysis (W-PARAFAC) model is applied to excitation-emission matrix (EEM) fluorescence spectra of carbamate pesticides to aid with calibration in the presence of Raman scattering. Traditional PARAFAC inefficiently models the Raman scattering, resulting in prediction and calibration errors when a significant background is present. Four different weighting strategies we...
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