文章基本信息

标题：A Critical View on Benchmarks based on Randomly Generated Systems
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作者：Cristian R. Rojas ; Patricio E. Valenzuela ; Ricardo A. Rojas 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：28
页码：1471-1476
DOI：10.1016/j.ifacol.2015.12.341
语种：English
出版社：Elsevier
摘要：AbstractIn data-based modelling communities, such as system identification, machine learning, signal processing and statistics, benchmarks are essential for testing and comparing old and new techniques for the estimation of models. During the last years, it has become customary in system identification to rely on data sets built from randomly generated systems. In this article we discuss the implications of this practice, in particular when using data sets generated with the MATLABr command drss, and advocate the cautious use of comparisons based on these benchmarks.