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Volumn 2, Issue , 2003, Pages 1287-1292

Study on new evolutionary neural network

Author keywords

Evolutionary neural network; Evolutionary programming; Genetic algorithm; Immunized evolutionary programming

Indexed keywords

BACKPROPAGATION; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; MATHEMATICAL MODELS;

EID: 1542316133     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (14)
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  • 2
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    • A Review of Artificial Neural Networks
    • Xin Yao. A Review of Artificial Neural Networks. Int. J. of Intelligent Systems, 8(4): 539-567, 1993
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  • 3
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    • Evolutionary Artificial Neural Networks
    • Xin Yao. Evolutionary Artificial Neural Networks. Int. J. of Neural Systems, 4(3): 203-222, 1993
    • (1993) Int. J. of Neural Systems , vol.4 , Issue.3 , pp. 203-222
    • Yao, X.1
  • 4
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    • Limitations of Multi-Layer Preceptron Networks - Steps Towards Genetic Neural Networks
    • H Muhlenbein. Limitations of Multi-Layer Preceptron Networks - Steps Towards Genetic Neural Networks. Parallel Computing, 14: 249-260, 1990
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    • Muhlenbein, H.1
  • 5
    • 0030168673 scopus 로고    scopus 로고
    • Evolution of an Artificial Neural Network Based Autonomous Land Vehicle Controller
    • S Baluja. Evolution of an Artificial Neural Network Based Autonomous Land Vehicle Controller. IEEE Trans. on SMC., 26: 450-463, 1996
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    • Baluja, S.1
  • 7
    • 84947804167 scopus 로고    scopus 로고
    • An Evolutionary Algorithm for Designing Feed-forward Neural Networks
    • V. W. Porto, N. Saravanan, and D. Waagen, et al, Eds. New York: Springer
    • A N Skourikhine. An Evolutionary Algorithm for Designing Feed-forward Neural Networks. In 7th Int. Conf. on EP'98, V. W. Porto, N. Saravanan, and D. Waagen, et al, Eds. New York: Springer: 629-635, 1998
    • (1998) 7th Int. Conf. on EP'98 , pp. 629-635
    • Skourikhine, A.N.1
  • 8
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    • Designing Adaptive Neural Network Architectures and Their Learning Parameters Using Genetic Algorithms
    • D. W. Ruck Eds. Orlando, Florido
    • H Takahashi, T Agui, H Nagahshi. Designing Adaptive Neural Network Architectures and Their Learning Parameters Using Genetic Algorithms. In Proc. Science of ANN II, D. W. Ruck Eds. Orlando, Florido: 208-215, 1993
    • (1993) Proc. Science of ANN II , pp. 208-215
    • Takahashi, H.1    Agui, T.2    Nagahshi, H.3
  • 9
    • 0031143030 scopus 로고    scopus 로고
    • A New Evolutionary System for Evolving Artificial Neural Networks
    • Xin Yao, Yong Liu. A New Evolutionary System for Evolving Artificial Neural Networks. IEEE Trans. on NN, 8(3): 694-713, 1997
    • (1997) IEEE Trans. on NN , vol.8 , Issue.3 , pp. 694-713
    • Yao, X.1    Liu, Y.2
  • 10
    • 0031126233 scopus 로고    scopus 로고
    • Neural Network Design Based on Evolutionary Programming
    • Jian Fang, Yugeng Xi. Neural Network Design Based on Evolutionary Programming. Artificial Intelligence in Engineering, vol 11: 155-161, 1997
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    • Fang, J.1    Xi, Y.2
  • 11
    • 0028336556 scopus 로고
    • Genetic Evolution of the Topology and Weight Distribution of Neural Networks
    • V Maniezzo. Genetic Evolution of the Topology and Weight Distribution of Neural Networks. IEEE Trans. on NN, 5(1): 39-53, 1994
    • (1994) IEEE Trans. on NN , vol.5 , Issue.1 , pp. 39-53
    • Maniezzo, V.1
  • 12
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    • An Evolutionary Algorithm that Constructs Recurrent Neural Networks
    • P J Angeline, G M Saunders, J B Pollack. An Evolutionary Algorithm that Constructs Recurrent Neural Networks. Ieee Trans. on Nn, 5(1): 54-65, 1994
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  • 13
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    • Evolving Recurrent Perceptrons for Time-series Modeling
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.