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Volumn 4, Issue 1, 1996, Pages 39-44

Multi-threshold neurones perceptron

Author keywords

Learning algorithm; Multi threshold neurones; Parity problem; Periodic activation function

Indexed keywords

BOOLEAN FUNCTIONS; FUNCTIONS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PATTERN RECOGNITION; PERFORMANCE; PROBLEM SOLVING;

EID: 0030232215     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00454844     Document Type: Article
Times cited : (3)

References (5)
  • 2
    • 0026953152 scopus 로고
    • How to solve the N-bit parity problem with two hidden units
    • D.G. Stork and J.D. Allen, "How to solve the N-bit parity problem with two hidden units", Neural Networks, Vol. 5, No. 6, pp. 923-926, 1992.
    • (1992) Neural Networks , vol.5 , Issue.6 , pp. 923-926
    • Stork, D.G.1    Allen, J.D.2
  • 3
    • 0343037107 scopus 로고
    • Guaranteed learning algorithm for networks with units having periodic threshold output functions
    • M.J. Brady, "Guaranteed learning algorithm for networks with units having periodic threshold output functions", Neural Computation, Vol. 2, pp. 405-408, 1990.
    • (1990) Neural Computation , vol.2 , pp. 405-408
    • Brady, M.J.1
  • 4
    • 0005908705 scopus 로고    scopus 로고
    • A new VLSI neural device with sinusoidal activation function for handwritten classification
    • Marseille. 20-22 mars
    • M. Gioello and F. Sorbello, "A new VLSI neural device with sinusoidal activation function for handwritten classification", Neural Networks & Their Applications, Marseille. 20-22 mars, 1996.
    • (1996) Neural Networks & Their Applications
    • Gioello, M.1    Sorbello, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.