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Volumn , Issue , 2008, Pages 3338-3344

MIMO beam-forming with neural network channel prediction trained by a novel PSO-EA-DEPSO algorithm

Author keywords

[No Author keywords available]

Indexed keywords

BIT ERROR RATE; CIRCUIT THEORY; COMPUTER SYSTEMS; DIGITAL ARITHMETIC; EVOLUTIONARY ALGORITHMS; FORECASTING; IMAGE CLASSIFICATION; MIM DEVICES; MULTIPLEXING; OPTICAL COMMUNICATION; PARTICLE SWARM OPTIMIZATION (PSO); RECURRENT NEURAL NETWORKS; SIGNAL TO NOISE RATIO; VEGETATION;

EID: 56349097322     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4634272     Document Type: Conference Paper
Times cited : (16)

References (12)
  • 3
    • 0038343420 scopus 로고    scopus 로고
    • From theory to practice: An overview of mimo space-time coded wireless svstems
    • Apr
    • D. Gesbert et al., "From theory to practice: An overview of mimo space-time coded wireless svstems." IEEE J. Select. Areas Commun., vol. 21, no. 3, pp. 281-302," Apr. 2003.
    • (2003) IEEE J. Select. Areas Commun , vol.21 , Issue.3 , pp. 281-302
    • Gesbert, D.1
  • 6
    • 34249714893 scopus 로고    scopus 로고
    • Time series prediction with recurrent neural networks trained by a hybrid pso-ea algorithm
    • Aug
    • X. Cai, N. Zhang, G. K. Venayagamoorthy, and D. C. Wunsch, "Time series prediction with recurrent neural networks trained by a hybrid pso-ea algorithm," Neurocomputing. vol. 70, pp. 2342-2353, Aug. 2007.
    • (2007) Neurocomputing , vol.70 , pp. 2342-2353
    • Cai, X.1    Zhang, N.2    Venayagamoorthy, G.K.3    Wunsch, D.C.4
  • 9
    • 0036600185 scopus 로고    scopus 로고
    • Improved models for the generation of multiple uncorrelated rayleigh fading waveforms
    • Y. Zheng and C. Xiao, "Improved models for the generation of multiple uncorrelated rayleigh fading waveforms," IEEE Commun. Lett., vol. 6, no. 6, 2002.
    • (2002) IEEE Commun. Lett , vol.6 , Issue.6
    • Zheng, Y.1    Xiao, C.2
  • 12
    • 34848893948 scopus 로고    scopus 로고
    • Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
    • Oct
    • R. Xu. G. K. Venayagamoorthy. and D. C. Wunsch. "Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization," Neural Networks Journal, vol. 21, pp. 917-927, Oct. 2007.
    • (2007) Neural Networks Journal , vol.21 , pp. 917-927
    • Venayagamoorthy, R.X.G.K.1    Wunsch, D.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.