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Volumn 15, Issue 3, 2002, Pages 395-414

On the capabilities of neural networks using limited precision weights

Author keywords

Integer weights; VC complexity; VLSI implementation

Indexed keywords

ENTROPY; PRECISION BALANCES; PROBLEM SOLVING; STATISTICAL METHODS; VLSI CIRCUITS;

EID: 0035989190     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(02)00032-1     Document Type: Article
Times cited : (80)

References (140)
  • 14
    • 0345698818 scopus 로고    scopus 로고
    • On the circuit and VLSI complexity of threshhold gate comparison
    • (1998) Neurocomputing , vol.19 , Issue.1-3 , pp. 77-98
    • Beiu, V.1
  • 64
    • 0027551858 scopus 로고
    • Hardware implementation of neural networks in Japan
    • (1993) Neurocomputing , vol.5 , Issue.3 , pp. 3-16
    • Hirai, Y.1
  • 74
    • 0025751820 scopus 로고
    • Approximation capabilities of multiplayer feed forward networks
    • (1991) Neural Networks , vol.4 , Issue.2 , pp. 251-257
    • Hornik, K.1
  • 82
    • 0001321136 scopus 로고
    • On the representation of continuous functions of many variables by superpositions of continuous functions of one variable and addition
    • (1957) Doklady Akademii Nauk , vol.114 , pp. 953-956
    • Kolmogorov, A.N.1
  • 84
    • 0027111063 scopus 로고
    • Designing multilayer feedforward neural networks using simplified activation functions and one-power-of-two weights
    • (1992) Electronics Letters , vol.28 , Issue.25 , pp. 2343-2344
    • Kwan, H.1    Tang, C.Z.2
  • 85
    • 0027912064 scopus 로고
    • Multiplierless multiplayer feedforward neural networks design suitable for continuous input-output mapping
    • (1993) Electronics Letters , vol.29 , Issue.14 , pp. 1259-1260
    • Kwan, H.1    Tang, C.Z.2
  • 107
    • 0002929765 scopus 로고
    • Synthesis of threshold circuits for certain classes of boolean functions
    • (1970) Kibernetika , vol.5 , pp. 6-9
    • Redkin, N.P.1
  • 108
    • 0026396071 scopus 로고
    • An analysis on the performance of silicon implementations of backpropagation algorithms for artificial neural networks
    • (1991) IEEE Computers , vol.40 , Issue.12 , pp. 1380-1389
    • Reyneri, L.M.1    Filippi, E.2
  • 128


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.