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Design of Space Search-Optimized Polynomial Neural Networks with the Aid of Ranking Selection and L2-norm Regularization
Wang, Dan; Oh, Sung-Kwun; Kim, Eun-Hu
刊名JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
2018
卷号13期号:4页码:1723-1730
关键词Space Search-Optimized Polynomial Neural Network (ssPNN) Ranking Selection-Based Performance Index (RS_PI) Polynomial Neural Network (PNN) Space Search Optimization (SSO) L2-norm Regularization
DOI10.5370/JEET.2018.13.4.1723
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公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4578026
专题山东大学
作者单位1.Univ Suwon, Dept Elect Engn, Suwon, South Korea.
2.Linyi Univ, Univ Shandong, Key Lab Complex Syst & Intelligent Comp
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GB/T 7714
Wang, Dan,Oh, Sung-Kwun,Kim, Eun-Hu. Design of Space Search-Optimized Polynomial Neural Networks with the Aid of Ranking Selection and L2-norm Regularization[J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY,2018,13(4):1723-1730.
APA Wang, Dan,Oh, Sung-Kwun,&Kim, Eun-Hu.(2018).Design of Space Search-Optimized Polynomial Neural Networks with the Aid of Ranking Selection and L2-norm Regularization.JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY,13(4),1723-1730.
MLA Wang, Dan,et al."Design of Space Search-Optimized Polynomial Neural Networks with the Aid of Ranking Selection and L2-norm Regularization".JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 13.4(2018):1723-1730.
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