메뉴 건너뛰기




Volumn 9, Issue 5, 1998, Pages 1021-1035

A new neural network for cluster-detection-and-labeling

Author keywords

Adaptation; Artificial neural network; Classification; Clustering; Connectionist structure; Detection; Self organizing neural network; Unsupervised learning

Indexed keywords

ADAPTIVE SYSTEMS; DATA PROCESSING; DATA REDUCTION; DATA STRUCTURES; LEARNING SYSTEMS; PERFORMANCE;

EID: 0032164765     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.712183     Document Type: Article
Times cited : (54)

References (19)
  • 2
    • 0001902810 scopus 로고
    • Adaptive resonance theory: Stable selforganization of neural recognition codes in response to arbitrary lists of input patterns
    • G. Carpenter and S. Grossberg, "Adaptive resonance theory: Stable selforganization of neural recognition codes in response to arbitrary lists of input patterns," in Proc. 8th Annu. Conf. Cognitive Sci. Soc., 1986, pp. 45-62.
    • (1986) Proc. 8th Annu. Conf. Cognitive Sci. Soc. , pp. 45-62
    • Carpenter, G.1    Grossberg, S.2
  • 3
    • 84973857317 scopus 로고
    • ART2: Self-organization of stable category recognition codes for analog input patterns
    • _, "ART2: Self-organization of stable category recognition codes for analog input patterns," Appl. Opt., vol. 26, no. 23, pp. 4919-4930, 1987.
    • (1987) Appl. Opt. , vol.26 , Issue.23 , pp. 4919-4930
  • 4
    • 0025235219 scopus 로고
    • ART3: Hierarchical search using chemical transmitters in self-organizing pattern recognition architectures
    • _, "ART3: Hierarchical search using chemical transmitters in self-organizing pattern recognition architectures," Neural Networks, vol. 3, pp. 129-152, 1990.
    • (1990) Neural Networks , vol.3 , pp. 129-152
  • 5
    • 0017083148 scopus 로고
    • Adaptive pattern recognition and universal recoding II: Feedback, expectation, olfaction, and illusions
    • S. Grossberg, "Adaptive pattern recognition and universal recoding II: Feedback, expectation, olfaction, and illusions," Biol. Cybern., vol. 23, pp. 187-202, 1976.
    • (1976) Biol. Cybern. , vol.23 , pp. 187-202
    • Grossberg, S.1
  • 6
    • 0029711650 scopus 로고    scopus 로고
    • The OI, OS, OMNI and OSMAN networks as best approximations of nonlinear systems under training data constraints (invited paper)
    • Seattle, WA
    • R. J. P. deFigueiredo, "The OI, OS, OMNI and OSMAN networks as best approximations of nonlinear systems under training data constraints (invited paper)," in Proc. 1996 IEEE Int. Symp. Circuits Syst., Seattle, WA, 1996.
    • (1996) Proc. 1996 IEEE Int. Symp. Circuits Syst.
    • DeFigueiredo, R.J.P.1
  • 7
    • 0031650560 scopus 로고    scopus 로고
    • Optimal interpolating and smoothing functional artificial neural networks (FANN's) based on a generalized Fock space framework
    • _, "Optimal interpolating and smoothing functional artificial neural networks (FANN's) based on a generalized Fock space framework," Circuits, Syst., Signal Processing, vol. 17, no. 2, pp 271-287, 1998.
    • (1998) Circuits, Syst., Signal Processing , vol.17 , Issue.2 , pp. 271-287
  • 9
    • 0030270228 scopus 로고    scopus 로고
    • Engineering applications of the self-organizing map
    • T. Kohonen, E. Oja, O. Simula, A. Visa, and J. Kangas, "Engineering applications of the self-organizing map," Proc. IEEE, vol. 84, no. 10, pp. 1358-1384, 1996.
    • (1996) Proc. IEEE , vol.84 , Issue.10 , pp. 1358-1384
    • Kohonen, T.1    Oja, E.2    Simula, O.3    Visa, A.4    Kangas, J.5
  • 11
    • 0020809262 scopus 로고
    • A generalized Fock space framework for nonlinear system and signal analysis
    • R. J. P. deFigueiredo, "A generalized Fock space framework for nonlinear system and signal analysis," IEEE Trans. Circuits Syst., vol. 30, pp. 637-647, 1983.
    • (1983) IEEE Trans. Circuits Syst. , vol.30 , pp. 637-647
    • DeFigueiredo, R.J.P.1
  • 12
    • 0025692453 scopus 로고
    • A new nonlinear functional analytic framework for modeling artificial neural networks
    • _, "A new nonlinear functional analytic framework for modeling artificial neural networks," in Proc. 1990 IEEE Int. Symp. Circuits Syst. (ISCAS), 1990, pp. 723-726.
    • (1990) Proc. 1990 IEEE Int. Symp. Circuits Syst. (ISCAS) , pp. 723-726
  • 13
    • 11644297449 scopus 로고
    • Mathematical foundations of optimal interpolative neural networks
    • E. Houstis and J. R. Rice, Eds. Amsterdam, The Netherlands: Elsevier
    • _, "Mathematical foundations of optimal interpolative neural networks," in Artifical Intelligence, Expert Systems, and Symbolic Computing, E. Houstis and J. R. Rice, Eds. Amsterdam, The Netherlands: Elsevier, 1992, pp. 303-319.
    • (1992) Artifical Intelligence, Expert Systems, and Symbolic Computing , pp. 303-319
  • 14
    • 85036539168 scopus 로고
    • An optimal multilayer neural interpolating (OMNI) net in a generalized Fock space setting
    • Baltimore, MD
    • _, "An optimal multilayer neural interpolating (OMNI) net in a generalized Fock space setting," in Proc. IJCNN-92, Baltimore, MD, vol. 1, pp. 111-118, 1992.
    • (1992) Proc. IJCNN-92 , vol.1 , pp. 111-118
  • 15
    • 0027148067 scopus 로고
    • Efficient learning procedures for optimal interpolating networks
    • S. K. Sin and R. J. P. deFigueiredo, "Efficient learning procedures for optimal interpolating networks," Neural Networks, vol. 6, pp. 99-113, 1993.
    • (1993) Neural Networks , vol.6 , pp. 99-113
    • Sin, S.K.1    DeFigueiredo, R.J.P.2
  • 17
    • 0023515080 scopus 로고
    • Counterpropagation networks
    • R. Hecht-Nielsen, "Counterpropagation networks," Appl. Opt., vol. 26, no. 23, pp. 4979-4984, 1987.
    • (1987) Appl. Opt. , vol.26 , Issue.23 , pp. 4979-4984
    • Hecht-Nielsen, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.