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Volumn 6444 LNCS, Issue PART 2, 2010, Pages 201-208

Design of artificial neural networks using differential evolution algorithm

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN; NEURAL NETWORKS; NONLINEAR PROGRAMMING; PROBLEM SOLVING; TRANSFER FUNCTIONS; EVOLUTIONARY ALGORITHMS;

EID: 78650224119     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17534-3_25     Document Type: Conference Paper
Times cited : (22)

References (20)
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  • 4
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    • A Hybrid Artificial Neural Networks and Particle Swarm Optimization for Function Approximation
    • Tejen, S., et al.: A Hybrid Artificial Neural Networks and Particle Swarm Optimization for Function Approximation. In: ICIC, vol. 4, pp. 2363-2374 (2008)
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    • Tejen, S.1
  • 5
    • 34147105043 scopus 로고    scopus 로고
    • Application of a PSO-based neural network in analysis of outcomes of construction claims
    • Chau, K.W.: Application of a PSO-based neural network in analysis of outcomes of construction claims. Automation in Construction 16, 642-646 (2007)
    • (2007) Automation in Construction , vol.16 , pp. 642-646
    • Chau, K.W.1
  • 6
    • 29244436135 scopus 로고    scopus 로고
    • A Particle Swarm Optimized Fuzzy-Neural Network for Voice Controlled Robot Systems
    • Chatterjee, A., et al.: A Particle Swarm Optimized Fuzzy-Neural Network for Voice Controlled Robot Systems. IEEE Trans. on Ind. Electronics 52, 1478-1489 (2005)
    • (2005) IEEE Trans. on Ind. Electronics , vol.52 , pp. 1478-1489
    • Chatterjee, A.1
  • 8
    • 56349106409 scopus 로고    scopus 로고
    • PSO-Based Single Multiplicative Neuron Model for Time Series Prediction
    • Zhao, L., Yang, Y.: PSO-Based Single Multiplicative Neuron Model for Time Series Prediction. Expert Systems with Applications 36, 2805-2812 (2009)
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    • Zhao, L.1    Yang, Y.2
  • 9
    • 12144252495 scopus 로고    scopus 로고
    • An improved PSO-based ANN with simulated annealing technique
    • Da, Y., Ge, X.R.: An improved PSO-based ANN with simulated annealing technique. Neurocomput. Lett. 63, 527-533 (2005)
    • (2005) Neurocomput. Lett. , vol.63 , pp. 527-533
    • Ge, X.R.1
  • 10
    • 35548944900 scopus 로고    scopus 로고
    • An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks
    • Yu, J., Xiand, L., Wang, S.: An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks. Neural Processing Letters 26, 217-231 (2007)
    • (2007) Neural Processing Letters , vol.26 , pp. 217-231
    • Yu, J.1    Xiand, L.2    Wang, S.3
  • 11
    • 70449408976 scopus 로고    scopus 로고
    • Design of Artificial Neural Networks using a Modified Particle Swarm Optimization Algorithm
    • Garro, B.A., Sossa, H., Vazquez, R.A.: Design of Artificial Neural Networks using a Modified Particle Swarm Optimization Algorithm. In: Proc. IEEE Int. Joint Conf. Neural Networks, pp. 938-945 (2009)
    • (2009) Proc. IEEE Int. Joint Conf. Neural Networks , pp. 938-945
    • Garro, B.A.1    Sossa, H.2    Vazquez, R.A.3
  • 12
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    • Differential Evolution Training Algorithm for Feed-Forward Neural Networks
    • Ilonen, J., Kamarainen, J.-K., Lampinen, J.: Differential Evolution Training Algorithm for Feed-Forward Neural Networks. Neural Processing Letters 17(1), 93-105 (2003)
    • (2003) Neural Processing Letters , vol.17 , Issue.1 , pp. 93-105
    • Ilonen, J.1    Kamarainen, J.-K.2    Lampinen, J.3
  • 13
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    • A Modified Differential Evolution Algorithm for Optimization Neural Network
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    • Neural Networks Training Based on Differential Evolution Algorithm Compared with Other Architectures for Weather Forecasting34
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.