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Volumn 14, Issue 3, 2000, Pages 339-355

Integer recurrent artificial neural network for classifying feature vectors

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; MATRIX ALGEBRA; RECURRENT NEURAL NETWORKS; VECTORS;

EID: 0033737784     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0218-0014(00)00022-2     Document Type: Article
Times cited : (14)

References (16)
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    • Brouwer, R.K.1
  • 3
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    • Automatic growing of a Hopfield style network during training for classification
    • R. K. Brouwer, "Automatic growing of a Hopfield style network during training for classification," Neural Networks 10, 3 (1997), 529-537.
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  • 4
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    • Fisher, R.A.1
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    • Perceptron-based learning algorithms
    • S. I. Gallant, "Perceptron-based learning algorithms," IEEE Trans. Neural Networks 1, 2 (1990) 179-191.
    • (1990) IEEE Trans. Neural Networks , vol.1 , Issue.2 , pp. 179-191
    • Gallant, S.I.1
  • 7
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • J. J. Hopfield, "Neural networks and physical systems with emergent collective computational abilities," Proc. Natl. Acad. Sci. 79 (1982) 2554-2558.
    • (1982) Proc. Natl. Acad. Sci. , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 8
    • 0022504321 scopus 로고
    • Computing with neural circuits: A model
    • J. J. Hopfield and D. W. Tank, "Computing with neural circuits: a model," Science 233 (1986) 625-633.
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    • Hopfield, J.J.1    Tank, D.W.2
  • 12
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    • Image restoration using a modified Hopfield network
    • J. K. Paik and A. K. Katsaggelos, "Image restoration using a modified Hopfield network," IEEE Trans. Imag. Process. I (1992) 49-63.
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    • Paik, J.K.1    Katsaggelos, A.K.2
  • 13
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    • The perceptron: A probabilistic model for information storage and organization in the brain
    • F. Rosenblatt, "The perceptron: a probabilistic model for information storage and organization in the brain," Psych. Rev. 65 (1958) 386-408.
    • (1958) Psych. Rev. , vol.65 , pp. 386-408
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    • Learning internal representations by error propagation
    • MIT Press, Boston
    • D. E. Rumelhart and J. L. McClelland, "Learning internal representations by error propagation," Parallel Distributed Processing, MIT Press, Boston, 1986, pp. 318-364.
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    • Rumelhart, D.E.1    McClelland, J.L.2
  • 16
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    • Beyond regression: New tools for prediction and analysis in the behavioral sciences
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.