کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
394379 665796 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A modified parallel optimization system for updating large-size time-evolving flow matrix
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A modified parallel optimization system for updating large-size time-evolving flow matrix
چکیده انگلیسی

Flow matrices are widely used in many disciplines, but few methods can estimate them. This paper presents a knowledge-based system as capable of estimating and updating large-size time-evolving flow matrix. The system in this paper consists of two major components with the purposes of matrix estimation and parallel optimization. The matrix estimation algorithm interprets and follows users’ query scripts, retrieves data from various sources and integrates them for the matrix estimation. The parallel optimization component is built upon a supercomputing facility to utilize its computational power to efficiently process a large amount of data and estimate a large-size complex matrix. The experimental results demonstrate its outstanding performance and the acceptable accuracy by directly and indirectly comparing the estimation matrix with the actual matrix constructed by surveys.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 194, 1 July 2012, Pages 57–67
نویسندگان
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