نتایج جستجو برای: linear machine
تعداد نتایج: 726439 فیلتر نتایج به سال:
Introduction: Rangelands are natural ecosystems having large genetic resources. Since plant vegetation is the bed of life on earth and changes under the influence of surrounding environmental elements, using environmental element can highly contribute to estimate vegetation percent more accurately. Two effective elements which can contribute to estimate the vegetation distribution are climatic ...
While a great portion of the scheduling literature focuses on time-based criteria, the most important goal of management is maximizing the profitability of the firm. In this paper, the net preset value criterion is studied taking account of linear time-dependent cash flows in single machine and flow shop scheduling problems. First, a heuristic method is presented for the single machine scheduli...
In this paper, we first introduce a generalized version of open shop scheduling (OSS), called generalized cyclic open shop scheduling (GCOSS) and then develop a hybrid method of metaheuristic to solve this problem. Open shop scheduling is concerned with processing n jobs on m machines, where each job has exactly m operations and operation i of each job has to be processed on machine i . However...
In 2014, the above paper entitled 'Quasi-Linear Support Vector Machine for Nonlinear Classification' was published by Zhou, et al. [1]. They proposed a quasi-linear kernel function support vector machine (SVM). However, in this letter, we point out that is part of multiple functions generated well-known learning which Bach, [2] 2004. Since then, there have been lot related papers on with severa...
Volume of fluid (VOF) methods are extensively used to track interfaces in numerical simulations, and many VOF algorithms require that the interface be reconstructed geometrically. For this purpose, Piecewise Linear Interface Construction (PLIC) technique is most frequently used, which for reasons geometric complexity can slow difficult implement. Here, we propose an alternative neural network b...
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