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author:

Wu, C. (Wu, C..) [1] | Yang, R. (Yang, R..) [2]

Indexed by:

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-element analysis; Non-linear mapping; Pattern recognition

Community:

  • [ 1 ] [Wu, C.]Chemical Department, Fuzhou University, Fuzhou 350003, China
  • [ 2 ] [Yang, R.]Chemical Department, Fuzhou University, Fuzhou 350003, China

Reprint 's Address:

  • [Wu, C.]Chemical Department, Fuzhou University, Fuzhou 350003, China

Email:

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Source :

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Year: 2000

Volume: 3

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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