G2TT
来源类型Monograph (IIASA Working Paper)
规范类型论文
Exact Classification with Two-Layered Perceptrons.
Aarts EHL; Zwietering PJ; Wessels J
发表日期1992
出版者IIASA, Laxenburg, Austria: WP-92-049
出版年1992
语种英语
摘要We study the capabilities of two-layered perceptrons for classifying exactly a given subset. Both necessary and sufficient conditions are derived for subsets to be exactly classifiable with two-layered perceptrons that use the hard-limiting response function. The necessary conditions can be viewed as generalizations of the linear-separability condition of one-layered perceptrons and confirm the conjecture that the capabilities of two-layered perceptrons are more limited than those of three-layered perceptrons. The sufficient conditions show that the capabilities of two-layered perceptrons extend beyond the exact classification of convex subsets. Furthermore, we present an algorithmic approach to the problem of verifying the sufficiency condition for a given subset.
主题Methodology of Decision Analysis (MDA)
URLhttp://pure.iiasa.ac.at/id/eprint/3649/
来源智库International Institute for Applied Systems Analysis (Austria)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/124033
推荐引用方式
GB/T 7714
Aarts EHL,Zwietering PJ,Wessels J. Exact Classification with Two-Layered Perceptrons.. 1992.
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