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Volumn 17, Issue 4 SPEC. ISS., 1996, Pages 421-429

Hardware implementation of RAM neural networks

Author keywords

Boolean neural networks; Character recognition; Fast prototyping; Image classification; Neural network hardware implementation

Indexed keywords

BOOLEAN FUNCTIONS; C (PROGRAMMING LANGUAGE); CHARACTER RECOGNITION; COMPUTER ARCHITECTURE; COMPUTER HARDWARE; COMPUTER HARDWARE DESCRIPTION LANGUAGES; COMPUTER SIMULATION; COMPUTER SOFTWARE; IMAGE ANALYSIS; LOGIC GATES;

EID: 0030568488     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-8655(95)00137-9     Document Type: Article
Times cited : (17)

References (20)
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    • (1994) VLSI Architectures for Evolutive Neural Models , pp. 134
    • Arostegui, J.M.M.1
  • 5
    • 0026821216 scopus 로고
    • Analysis of saturation problem in RAM-based neural network
    • Filho, E.C.D.B., M.C. Fairhurst and D.L. Bisset (1992). Analysis of saturation problem in RAM-based neural network. Electronics Lett. 28 (4), 345-346.
    • (1992) Electronics Lett. , vol.28 , Issue.4 , pp. 345-346
    • Filho, E.C.D.B.1    Fairhurst, M.C.2    Bisset, D.L.3
  • 7
    • 0026925756 scopus 로고
    • General-purpose neural chips with electrically programmable synapses and gain-adjustable neurons
    • Lee, B.W. and B.J. Sheu (1992). General-purpose neural chips with electrically programmable synapses and gain-adjustable neurons. IEEE J. Solid-State Circuits 27 (9), 1299-1302.
    • (1992) IEEE J. Solid-State Circuits , vol.27 , Issue.9 , pp. 1299-1302
    • Lee, B.W.1    Sheu, B.J.2
  • 8
    • 0027590094 scopus 로고
    • An analog CMOS chip set for neural networks with arbitrary topologies
    • Lehmann, T. and J.A. Lansner (1993). An analog CMOS chip set for neural networks with arbitrary topologies. IEEE Trans. Neural Networks 4 (3), 441-444.
    • (1993) IEEE Trans. Neural Networks , vol.4 , Issue.3 , pp. 441-444
    • Lehmann, T.1    Lansner, J.A.2
  • 11
    • 0028495068 scopus 로고
    • An all-analog expandable neural network LSI with on-chip backpropagation learning
    • Morie, T. and Y. Amemiya (1994). An all-analog expandable neural network LSI with on-chip backpropagation learning. IEEE J. Solid-State Circuits 29 (9), 1086-1093.
    • (1994) IEEE J. Solid-State Circuits , vol.29 , Issue.9 , pp. 1086-1093
    • Morie, T.1    Amemiya, Y.2
  • 13
    • 0024891252 scopus 로고
    • Analog VLSI synaptic matrices as building blocks for neural net-works
    • Rossetto, O., C. Jutten, J. Herault and I. Kreuzer (1989). Analog VLSI synaptic matrices as building blocks for neural net-works. IEEE Micro 9 (12), 56-63.
    • (1989) IEEE Micro , vol.9 , Issue.12 , pp. 56-63
    • Rossetto, O.1    Jutten, C.2    Herault, J.3    Kreuzer, I.4
  • 17
    • 85029999938 scopus 로고
    • A comparision between three different GSN model hardware implementations with the appliance of an ANN fast prototyping system
    • Washington, USA, in CD-ROM
    • Uebel, L.F., E.V. Simões and D.A.C. Barone (1995). A comparision between three different GSN model hardware implementations with the appliance of an ANN fast prototyping system. World Congress on Neural Networks, Washington, USA, in CD-ROM.
    • (1995) World Congress on Neural Networks
    • Uebel, L.F.1    Simões, E.V.2    Barone, D.A.C.3
  • 18
    • 0024884016 scopus 로고
    • An analog implementation of the Hopfield's neural networks
    • Verleysen, M. and P.G.A. Jespers (1989). An analog implementation of the Hopfield's neural networks. IEEE Micro 9(12), 46-55.
    • (1989) IEEE Micro , vol.9 , Issue.12 , pp. 46-55
    • Verleysen, M.1    Jespers, P.G.A.2
  • 19
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    • An analog processor architecture for a neural network classifier
    • Verleysen, M., P. Thissen, J.L. Voz and J. Madrenas (1994). An analog processor architecture for a neural network classifier. IEEE Micro 14 (3), 16-28.
    • (1994) IEEE Micro , vol.14 , Issue.3 , pp. 16-28
    • Verleysen, M.1    Thissen, P.2    Voz, J.L.3    Madrenas, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.