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  • 标题:Design of Experiments as a Prerequisite for Development of Fuzzy Models?
  • 本地全文:下载
  • 作者:Sašo Blažič ; Igor Škrjanc
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:11
  • 页码:140-145
  • DOI:10.1016/j.ifacol.2019.09.131
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Design of experiments is an approach where the experiments for measurement acquisition should be planned very carefully in order to obtain high-informative data. This paper tackles a problem of constructing mathematical models of complex nonlinear problems based on measurement data of poor information content. Two practical examples are dealt with. The first one is a textile wastewater decolourisation process, and the second one an atmospheric corrosion of structural metal materials. In both cases the measurement data were not adequate for constructing a very accurate model. In such cases it is necessary to make a trade-off between model complexity and model accuracy.
  • 关键词:Keywordsdesign of experimentsfuzzy modelradial basis networkdecolourisation processatmospheric corrosion
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