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Volumn 16, Issue 1, 1994, Pages 98-106

A Novel Feature Recognition Neural Network and its Application to Character Recognition

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; CHARACTER RECOGNITION; COMPUTER SIMULATION; DATA RECORDING; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; LARGE SCALE SYSTEMS; LEARNING SYSTEMS; PATTERN RECOGNITION;

EID: 0028196492     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.273711     Document Type: Article
Times cited : (58)

References (27)
  • 1
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • Apr.
    • R. P. Lippman, “An introduction to computing with neural nets,” IEEE ASSP Mag., pp. 4-22, Apr. 1987.
    • (1987) IEEE ASSP Mag. , pp. 4-22
    • Lippman, R.P.1
  • 2
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Apr.
    • J. J. Hopfield, “Neural networks and physical systems with emergent collective computational abilities,” in Proc. Nat. Acad. Sci., vol. 79, pp. 2554-2558, Apr. 1982.
    • (1982) Proc. Nat. Acad. Sci. , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 3
    • 0022504321 scopus 로고
    • Computing with neural circuits: A model
    • Aug.
    • J. J. Hopfield and D. W. Tank, “Computing with neural circuits: A model,” Science, vol. 233, pp. 625-633, Aug. 1986.
    • (1986) Science , vol.233 , pp. 625-633
    • Hopfield, J.J.1    Tank, D.W.2
  • 5
    • 0010845919 scopus 로고
    • Neural dynamics of category teaming and recognition: Attention, memory consolidation and amnesia
    • J. Davis, R. Newburgh, and E. Wegman Eds.
    • G. A. Carpenter and S. Grossberg, “Neural dynamics of category teaming and recognition: Attention, memory consolidation and amnesia,” in Brain Structure, Learning, and Memory (AAAS Symposium Series), J. Davis, R. Newburgh, and E. Wegman Eds., 1986.
    • (1986) Brain Structure, Learning, and Memory (AAAS Symposium Series)
    • Carpenter, G.A.1    Grossberg, S.2
  • 6
    • 0004274572 scopus 로고
    • Amsterdam: Elsevier, North-Holland
    • S. Grossberg, The Adaptive Brain, vol. 1 and II. Amsterdam: Elsevier, North-Holland, 1986.
    • (1986) The Adaptive Brain , vol.1
    • Grossberg, S.1
  • 7
    • 84944990541 scopus 로고    scopus 로고
    • Principles of Neurodynamics, New York: Spartan
    • R. Rosenblatt, Principles of Neurodynamics. New York: Spartan, 1959.
    • Rosenblatt, R.1
  • 15
    • 0003205694 scopus 로고
    • Analysis of a four-layer layer series-coupled perceptron. II
    • Jan
    • H. D. Block, B. W. Knight, and F. Rosenblatt, “Analysis of a four-layer layer series-coupled perceptron. II,” Rev. Modern Phys., vol. 34, pp. 135-152, Jan 1962.
    • (1962) Rev. Modern Phys. , vol.34 , pp. 135-152
    • Block, H.D.1    Knight, B.W.2    Rosenblatt, F.3
  • 16
    • 0020331278 scopus 로고
    • Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in positions
    • K. Fukushima and S. Miyake, “Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in positions,” Pattern Recognition, vol. 15, no. 6, pp. 455-469, 1982.
    • (1982) Pattern Recognition , vol.15 , Issue.6 , pp. 455-469
    • Fukushima, K.1    Miyake, S.2
  • 17
    • 0020970740 scopus 로고
    • Neocognitron: A neural network model for a mechanism of visual pattern recognition
    • Sept.
    • K. Fukushima, S. Miyake, and T. Ito, “Neocognitron: A neural network model for a mechanism of visual pattern recognition,” IEEE Trans. Syst., Man, Cybern., vol. SMC-13, no. 5, pp. 826-834, Sept. 1983.
    • (1983) IEEE Trans. Syst., Man, Cybern. , vol.SMC-13 , Issue.5 , pp. 826-834
    • Fukushima, K.1    Miyake, S.2    Ito, T.3
  • 18
    • 0024715766 scopus 로고
    • An adaptive least square algorithm for the efficient training of artificial neural networks
    • Aug.
    • S. Kollias and D. Anastassiou, “An adaptive least square algorithm for the efficient training of artificial neural networks,” IEEE Trans. Circuits Syst., vol. 36, nd. 8, pp. 1092-1101, Aug. 1989.
    • (1989) IEEE Trans. Circuits Syst. , vol.36 , pp. 1092-1101
    • Kollias, S.1    Anastassiou, D.2
  • 19
    • 0023169119 scopus 로고
    • Building and understanding adaptive systems: A statistical/numerical approach to factory automation and brain research
    • Jan.Feb.
    • P. Werbos, “Building and understanding adaptive systems: A statistical/numerical approach to factory automation and brain research,” IEEE Trans. Syst., Man, Cybern., vol. SMC-17, Jan.—Feb. 1987.
    • (1987) IEEE Trans. Syst., Man, Cybern. , vol.SMC-17
    • Werbos, P.1
  • 20
    • 34250800205 scopus 로고
    • Back propagation fails to separate where perceptrons succeed
    • May
    • M. L. Brady, R. Raghavan, and J. Slawny, “Back propagation fails to separate where perceptrons succeed,” IEEE Trans. Circuits Syst., vol. 36, no. 5, pp. 665-674, May 1989.
    • (1989) IEEE Trans. Circuits Syst. , vol.36 , Issue.5 , pp. 665-674
    • Brady, M.L.1    Raghavan, R.2    Slawny, J.3
  • 21
    • 34250853947 scopus 로고
    • A digital architecture employing stochasticism for the simulation of Hopfield neural nets
    • May
    • D. E. Van Den Bout and T. K. Miller, “A digital architecture employing stochasticism for the simulation of Hopfield neural nets,” IEEE Trans. Circuits Syst., vol. 36, no. 5, pp. 732-746, May 1989.
    • (1989) IEEE Trans. Circuits Syst. , vol.36 , Issue.5 , pp. 732-746
    • Van, D.E.1    Bout, D.2    Miller, T.K.3
  • 23
    • 0023980279 scopus 로고
    • Automated visual inspection, survey: 1981 to 1987
    • R. T. Chin, “Automated visual inspection, survey: 1981 to 1987,” Computer Vision, Graphics and Image Processing, vol. 41, pp. 346-381, 1988.
    • (1988) Computer Vision, Graphics and Image Processing , vol.41 , pp. 346-381
    • Chin, R.T.1
  • 24
    • 0017094582 scopus 로고
    • Recursive digital filters synthesis via gradient based algorithms
    • J. Cadzow, “Recursive digital filters synthesis via gradient based algorithms,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-24, pp. 349-355, 1976.
    • (1976) IEEE Trans. Acoust., Speech, Signal Processing , vol.ASSP-24 , pp. 349-355
    • Cadzow, J.1
  • 26
    • 0015407740 scopus 로고
    • Analysis of simulation of networks of mutually inhibiting neutron
    • I. Morashita and A. Yajima, “Analysis of simulation of networks of mutually inhibiting neutron.” Cybern., vol. 11, pp. 154-165, 1972.
    • (1972) Cybern. , vol.11 , pp. 154-165
    • Morashita, I.1    Yajima, A.2
  • 27
    • 0004469897 scopus 로고
    • Neurons with graded response have collective computational properties like those of two-state neurons
    • May
    • J. J. Hopfield, “Neurons with graded response have collective computational properties like those of two-state neurons.” Proc. Nat. Acad. Sci., vol. 81, no. 10, pp. 3088-3092, May 1984.
    • (1984) Proc. Nat. Acad. Sci. , vol.81 , Issue.10 , pp. 3088-3092
    • Hopfield, J.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.