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author:

Wu, CR (Wu, CR.) [1] | Yang, RS (Yang, RS.) [2]

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CPCI-S EI Scopus

Abstract:

Used non-linear mapping, this paper maps the multi-dimension non-linear data into the low-dimension space, so we can improve the linear degree, and then cooperate self-suitable pattern recognition of matter-element analysis to sort data. Hereby, we bring forward non-linear self-suitable pattern recognition of matter-element analysis.

Keyword:

matter-clement analysis non-linear mapping pattern recognition

Community:

  • [ 1 ] Fuzhou Univ, Dept Chem, Fuzhou 350003, Peoples R China

Reprint 's Address:

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    [Wu, CR]Fuzhou Univ, Dept Chem, Fuzhou 350003, Peoples R China

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Source :

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5

Year: 2000

Page: 2129-2131

Language: Chinese

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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