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Volumn 7, Issue 1, 1996, Pages 97-106

The Pandemonium system of reflective agents

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; BOOLEAN FUNCTIONS; FEEDFORWARD NEURAL NETWORKS; LEARNING SYSTEMS; OPTICAL CHARACTER RECOGNITION; PARALLEL PROCESSING SYSTEMS; PROBLEM SOLVING;

EID: 0029769829     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.478395     Document Type: Article
Times cited : (24)

References (20)
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    • Hornik, K.M.1    Stinchcombe, M.2    White, H.3
  • 3
    • 0026627415 scopus 로고
    • Kolmogorov's theorem and multilayer neural networks
    • V. Kȯrková, "Kolmogorov's theorem and multilayer neural networks," Neural Networks, vol. 5, pp. 501-506, 1992.
    • (1992) Neural Networks , vol.5 , pp. 501-506
    • Korková, V.1
  • 4
    • 0025477971 scopus 로고
    • Limitations of multilayer perceptrons - Steps towards genetic neural networks
    • H. Mühlenbein, "Limitations of multilayer perceptrons - Steps towards genetic neural networks," Parallel Comput., vol. 14, no. 3, pp. 249-260, 1990.
    • (1990) Parallel Comput. , vol.14 , Issue.3 , pp. 249-260
    • Mühlenbein, H.1
  • 6
    • 1542353166 scopus 로고
    • Multiple network systems (MINOS) modules: Task division and module discrimination
    • Leeds, Apr. 16-19, Also available as GMD Tech. Rep. 638
    • F. J. Śmieja, "Multiple network systems (MINOS) modules: Task division and module discrimination," in Proc. 8th AISB Conf. Artificial Intett., Leeds, Apr. 16-19, 1991. Also available as GMD Tech. Rep. 638.
    • (1991) Proc. 8th AISB Conf. Artificial Intett.
    • Śmieja, F.J.1
  • 7
    • 4243836362 scopus 로고
    • Gesellschaft für Mathematik und Datenverarbeitung, St. Augustin, Germany, Tech. Rep. 633, Feb.
    • F. J. Śmieja and H. Mühlenbein, "Reflective modular neural network systems," Gesellschaft für Mathematik und Datenverarbeitung, St. Augustin, Germany, Tech. Rep. 633, Feb. 1992.
    • (1992) Reflective Modular Neural Network Systems
    • Śmieja, F.J.1    Mühlenbein, H.2
  • 9
    • 0141534879 scopus 로고
    • Construction of a large-scale neural network: Simulation of handwritten Japanese character recognition on NCUBE
    • June
    • K. Joe, Y. Mori, and S. Miyake, "Construction of a large-scale neural network: Simulation of handwritten Japanese character recognition on NCUBE," Concurrency, Practice, Experience, vol. 2, no. 2, pp. 79-107, June 1990.
    • (1990) Concurrency, Practice, Experience , vol.2 , Issue.2 , pp. 79-107
    • Joe, K.1    Mori, Y.2    Miyake, S.3
  • 10
    • 0001942829 scopus 로고
    • Neural networks and the bias/variance dilemma
    • S. Geman, E. Bienenstock, and R. Doursat, "Neural networks and the bias/variance dilemma," Neural Computa., vol. 4, pp. 1-58, 1992.
    • (1992) Neural Computa. , vol.4 , pp. 1-58
    • Geman, S.1    Bienenstock, E.2    Doursat, R.3
  • 13
    • 0001800929 scopus 로고
    • Pattern recognition by machine
    • Aug.
    • O. G. Selfridge and U. Neisser, "Pattern recognition by machine," Sci. Amer., vol. 203, no. 2, pp. 60-68, Aug. 1960.
    • (1960) Sci. Amer. , vol.203 , Issue.2 , pp. 60-68
    • Selfridge, O.G.1    Neisser, U.2
  • 16
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation," Nature, vol. 323, no. 533, 1986.
    • (1986) Nature , vol.323 , Issue.533
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 17
    • 0040918111 scopus 로고
    • Gesellschaft für Mathematik und Datenverarbeitung, St. Augustin, Germany, Tech. Rep. 797, Oct. to be published
    • U. Beyer and F. J. Śmieja, "Learning from examples using reflective exploration," Gesellschaft für Mathematik und Datenverarbeitung, St. Augustin, Germany, Tech. Rep. 797, Oct. 1993, to be published.
    • (1993) Learning from Examples Using Reflective Exploration
    • Beyer, U.1    Śmieja, F.J.2
  • 19
    • 33749182728 scopus 로고
    • Optical character recognition using pandemonium and a genetically optimized polynomial classifier
    • J. Geist, Ed. Gaithersburg, MD: Nat. Institute Standards Technol., Aug.
    • F. J. Śmieja, "Optical character recognition using pandemonium and a genetically optimized polynomial classifier," in The First Census Optical Character Recognition System Conference, J. Geist, Ed. Gaithersburg, MD: Nat. Institute Standards Technol., Aug. 1992, pp. 145-168.
    • (1992) The First Census Optical Character Recognition System Conference , pp. 145-168
    • Śmieja, F.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.