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Volumn 12, Issue 3, 1999, Pages 541-551

Hierarchical classification with a competitive evolutionary neural tree

Author keywords

Cluster analysis; Dynamic neural tree; Hierarchical classification; Self organising; Unsupervised learning

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; DATA STRUCTURES; ERRORS; HEURISTIC METHODS; OPTIMIZATION; VECTORS;

EID: 0032939545     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(99)00010-6     Document Type: Article
Times cited : (24)

References (15)
  • 1
    • 0343472955 scopus 로고    scopus 로고
    • A comparative study of two self organising and structurally adaptive dynamic neural tree networks
    • J.G. Taylor. New York: Wiley
    • Butchart K., Davey N., Adams R. A comparative study of two self organising and structurally adaptive dynamic neural tree networks. Taylor J.G. Neural networks and their applications. 1996;Wiley, New York.
    • (1996) Neural Networks and Their Applications
    • Butchart, K.1    Davey, N.2    Adams, R.3
  • 2
    • 0021776661 scopus 로고
    • A massively parallel architecture for a self-organising neural pattern recognising machine
    • Carpenter G.A, Grossberg S. A massively parallel architecture for a self-organising neural pattern recognising machine. Computer Vision, Graphic and Image Processing. 37:1987;54-115.
    • (1987) Computer Vision, Graphic and Image Processing , vol.37 , pp. 54-115
    • Carpenter, G.A.1    Grossberg, S.2
  • 6
    • 0028748949 scopus 로고
    • Growing cell structures - A self-organising network for unsupervised and supervised learning
    • Fritzke B. Growing cell structures - a self-organising network for unsupervised and supervised learning. Neural Networks. 9:1994;1441-1460.
    • (1994) Neural Networks , vol.9 , pp. 1441-1460
    • Fritzke, B.1
  • 11
    • 0027574960 scopus 로고
    • Hierarchical classification and vector quantisation with neural trees
    • Li T., Fang L., Li Q.-Q. Hierarchical classification and vector quantisation with neural trees. Neurocomputing. 5:1993;119-139.
    • (1993) Neurocomputing , vol.5 , pp. 119-139
    • Li, T.1    Fang, L.2    Li, Q.-Q.3
  • 13
    • 0025725786 scopus 로고
    • Knowledge representation by dynamic competitive learning techniques
    • Racz ., Klotz T. Knowledge representation by dynamic competitive learning techniques. SPIE Applications of Artificial Neural Networks II. 1469:1991;778-783.
    • (1991) SPIE Applications of Artificial Neural Networks II , vol.1469 , pp. 778-783
    • Racz1    Klotz, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.