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Volumn 3610, Issue PART I, 2005, Pages 1279-1288

Data clustering with a neuro-immune network

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA ACQUISITION; GRAPH THEORY; IMMUNOLOGY; LEARNING SYSTEMS;

EID: 26844434710     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11539087_169     Document Type: Conference Paper
Times cited : (6)

References (14)
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    • Cho, S. -B.: Self-Organizing Map with Dynamical Node Splitting: Application to Handwritten Digit Recognition, Neural Computation, 9 (1997), pp. 1345-1355
    • (1997) Neural Computation , vol.9 , pp. 1345-1355
    • Cho, S.B.1
  • 2
    • 0031337651 scopus 로고    scopus 로고
    • Artificial neural networks and artificial immune systems: Similarities and differences
    • Dasgupta, D.: Artificial Neural Networks and Artificial Immune Systems: Similarities and Differences, Proc. of the IEEE SMC, 1 (1997), pp. 873-878
    • (1997) Proc. of the IEEE SMC , vol.1 , pp. 873-878
    • Dasgupta, D.1
  • 4
    • 0037245203 scopus 로고    scopus 로고
    • The construction of a boolean competitive neural network using ideas from immunology
    • de Castro, L. N., Von Zuben, F. J., Júnior, G. A. de D.: The Construction of a Boolean Competitive Neural Network Using Ideas From Immunology, Neurocomputing, 50C (2003), pp. 51-85
    • (2003) Neurocomputing , vol.50 C , pp. 51-85
    • De Castro, L.N.1    Von Zuben, F.J.2    Júnior, G.A.D.D.3
  • 8
    • 10944237845 scopus 로고    scopus 로고
    • Evolving connectionist systems: Methods and applications in bioinformatics
    • Springer Verlag
    • Kasabov, N.: Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines, Springer Verlag (2002)
    • (2002) Brain Study and Intelligent Machines
    • Kasabov, N.1
  • 9
    • 0036789790 scopus 로고    scopus 로고
    • A self-organising network that grows when required
    • Marsland, J., Shapiro, S., Nehmzaw, U.: A Self-Organising Network that Grows When Required, Neural Networks, 15 (2002), pp. 1041-1058
    • (2002) Neural Networks , vol.15 , pp. 1041-1058
    • Marsland, J.1    Shapiro, S.2    Nehmzaw, U.3
  • 10
    • 84911584312 scopus 로고
    • Shortest connection networks and some generalizations
    • Prim, R. C.: Shortest Connection Networks and Some Generalizations, Bell Sys. Tech. Journal, 36 (1957), pp. 1389-1401
    • (1957) Bell Sys. Tech. Journal , vol.36 , pp. 1389-1401
    • Prim, R.C.1
  • 11
    • 34249971816 scopus 로고
    • Self-organizing semantic maps
    • Ritter, J., Kohonen, T.,: Self-Organizing Semantic Maps, Biolog. Cybern., vol. 61 (1989), pp. 241-254
    • (1989) Biolog. Cybern. , vol.61 , pp. 241-254
    • Ritter, J.1    Kohonen, T.2
  • 12
    • 85121565649 scopus 로고
    • Computations in shape space: A new approach to immune network theory
    • ed. A. S. Perelson
    • Segel, L., Perelson, A. S.: Computations in Shape Space: A New Approach to Immune Network Theory, in: ed. A. S. Perelson, Theoretical Immunology 2 (1988), 321-343
    • (1988) Theoretical Immunology , vol.2 , pp. 321-343
    • Segel, L.1    Perelson, A.S.2
  • 13
    • 0002535204 scopus 로고
    • Knowledge extraction from artificial neural networks and applications
    • O. Optiz et al. (Eds.), Springer
    • Ultsch, A.: Knowledge Extraction from Artificial Neural Networks and Applications, Information and Classification, O. Optiz et al. (Eds.), Springer, pp. 307-313, (1993)
    • (1993) Information and Classification , pp. 307-313
    • Ultsch, A.1
  • 14
    • 0014976008 scopus 로고
    • Graph-theoretical methods for detecting and describing gestalt clusters
    • Zahn, T.: Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters. IEEE Trans. on Comp. C-20 (1971), pp.68-86
    • (1971) IEEE Trans. on Comp. , vol.C-20 , pp. 68-86
    • Zahn, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.