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Volumn 2, Issue , 2000, Pages 1065-1068

A new evolved artificial neural network and its application

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; EVOLUTIONARY ALGORITHMS; OPTIMIZATION;

EID: 0034591544     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (11)
  • 1
    • 0028390208 scopus 로고
    • A constructive algorithm that converges for real-valued input patterns
    • N. Burgess. "A constructive algorithm that converges for real-valued input patterns". Int. J. Neural Syst., vol 5, no. 1, pp. 59-66, 1994.
    • (1994) Int. J. Neural Syst. , vol.5 , Issue.1 , pp. 59-66
    • Burgess, N.1
  • 2
    • 0027662338 scopus 로고
    • Pruning algorithms - A survey
    • R. Reed. "Pruning algorithms-A survey", IEEE trans. Neural Networks, vol 4, pp. 740-747, 1995.
    • (1995) IEEE Trans. Neural Networks , vol.4 , pp. 740-747
    • Reed, R.1
  • 4
    • 0004311713 scopus 로고
    • Evolving networks: Using GAs with connectionist learning
    • Univ. California-San Diego, Tech. Rep. CS90-174 revised, Feb.
    • R.K. Belew, J. MchInerney and N.N. Schraudolph. "Evolving networks: Using GAs with connectionist learning". Computer Sci. Eng. Dept., Univ. California-San Diego, Tech. Rep. CS90-174 revised, Feb. 1991.
    • (1991) Computer Sci. Eng. Dept.
    • Belew, R.K.1    MchInerney, J.2    Schraudolph, N.N.3
  • 6
    • 0027574256 scopus 로고
    • A review of evolutionary artificial neural networks
    • X. Yao. "A review of evolutionary artificial neural networks". Int. J. Intell. Syst., vol. 8, no. 4, pp. 539-567, 1993.
    • (1993) Int. J. Intell. Syst. , vol.8 , Issue.4 , pp. 539-567
    • Yao, X.1
  • 7
    • 0028312789 scopus 로고
    • Evolving recurrent perceptrons for time-series modeling
    • J.R. McDonnell and D. Waagen. "Evolving recurrent perceptrons for time-series modeling". IEEE Tran. Neural Networks, vol. 5, no. 1, pp. 24-38, 1994.
    • (1994) IEEE Tran. Neural Networks , vol.5 , Issue.1 , pp. 24-38
    • McDonnell, J.R.1    Waagen, D.2
  • 8
    • 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. Neural Networks, vol. 5, no. 1, pp. 39-53, 1994.
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.1 , pp. 39-53
    • Maniezzo, V.1
  • 9
    • 0028202641 scopus 로고
    • An evolutionary algorithm that constructs recurrent neural networks
    • P.J. Angeline, G.M. Sauders, and J.B. Pollack. "An evolutionary algorithm that constructs recurrent neural networks". IEEE Trans. Neural Networks, vol. 5, pp. 54-65. 1994.
    • (1994) IEEE Trans. Neural Networks , vol.5 , pp. 54-65
    • Angeline, P.J.1    Sauders, G.M.2    Pollack, J.B.3
  • 10
  • 11
    • 0029412003 scopus 로고
    • Some notes on neural learning algorithm benchmarking
    • L. Prechelt. "Some notes on neural learning algorithm benchmarking". Neurocomputing, vol. 9, no. 3, pp. 343-347. 1995.
    • (1995) Neurocomputing , vol.9 , Issue.3 , pp. 343-347
    • Prechelt, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.