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Volumn 3287, Issue , 2004, Pages 171-178

Single layer morphological perceptron solution to the N-bit parity problem

Author keywords

[No Author keywords available]

Indexed keywords

ALGEBRA; BENCHMARKING; CYBERNETICS; GEOMETRY; NEURAL NETWORKS;

EID: 35048874697     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30463-0_21     Document Type: Article
Times cited : (8)

References (19)
  • 2
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    • Sontag, E. D.: Feedforward nets for interpolation and classification. Journal of Computer and System Sciences 45 (1992) 20-48.
    • (1992) Journal of Computer and System Sciences , vol.45 , pp. 20-48
    • Sontag, E.D.1
  • 4
    • 0031240054 scopus 로고    scopus 로고
    • On the solution of the parity problem by using a single hidden layer feedforward neural network
    • Setiono, R.: On the solution of the parity problem by using a single hidden layer feedforward neural network. Neurocomputing 16(3) (1997) 1059-1065.
    • (1997) Neurocomputing , vol.16 , Issue.3 , pp. 1059-1065
    • Setiono, R.1
  • 8
    • 0034205914 scopus 로고    scopus 로고
    • Majority algorithm: A formation for neural networks with the quantized connection weights
    • Park, C-Y., Nakajima K.: Majority algorithm: a formation for neural networks with the quantized connection weights. IEICE Trans. Fundamentals E83-A(6) (2000) 225-235.
    • (2000) IEICE Trans. Fundamentals E83-A , Issue.6 , pp. 225-235
    • Park, C.-Y.1    Nakajima, K.2
  • 9
    • 0034877842 scopus 로고    scopus 로고
    • Stacked generalization in neural networks: Generalization on statistically neutral problems
    • Ghorbani, A. A., Owrangh K.: Stacked generalization in neural networks: generalization on statistically neutral problems. IEEE Proc. IJCNN, Washington, DC, USA (2001) 1715-1720.
    • (2001) IEEE Proc. IJCNN, Washington, DC, USA , pp. 1715-1720
    • Ghorbani, A.A.1    Owrangh, K.2
  • 11
    • 0036964229 scopus 로고    scopus 로고
    • A constructive algorithm for feedforward neural networks with incremental training
    • Liu, D., Chang T-S., Zhang Y.: A constructive algorithm for feedforward neural networks with incremental training. IEEE Trans, on Circuits and Systems 49(12) (2002) 1876-1879.
    • (2002) IEEE Trans, on Circuits and Systems , vol.49 , Issue.12 , pp. 1876-1879
    • Liu, D.1    Chang, T.-S.2    Zhang, Y.3
  • 13
    • 0037359651 scopus 로고    scopus 로고
    • Lattice algebra approach to single neuron computation
    • Ritter, G. X., Urcid G.: Lattice algebra approach to single neuron computation. IEEE Trans, on Neural Networks 14(2) (2003) 282-295.
    • (2003) IEEE Trans, on Neural Networks , vol.14 , Issue.2 , pp. 282-295
    • Ritter, G.X.1    Urcid, G.2
  • 14
    • 0038170254 scopus 로고    scopus 로고
    • Morphological perceptrons with dendritic structure
    • St. Louis, Missouri, USA
    • Ritter, G. X., Iancu, L., Urcid G.: Morphological perceptrons with dendritic structure. Proc. FUZZ-IEEE, St. Louis, Missouri, USA (2003) 1296-1301.
    • (2003) Proc. FUZZ-IEEE , pp. 1296-1301
    • Ritter, G.X.1    Iancu, L.2    Urcid, G.3
  • 19
    • 0029185114 scopus 로고
    • Use of quasi-Newton method in a feedforward neural network construction algorithm
    • Setiono, R., Hui, L. C. K.: Use of quasi-Newton method in a feedforward neural network construction algorithm. IEEE Transactions on Neural Networks 6 (1995) 273-277.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , pp. 273-277
    • Setiono, R.1    Hui, L.C.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.