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Volumn , Issue , 2011, Pages 171-174

Prediction of grain yield based on spiking neural networks model

Author keywords

artificial neural networks; grain yield; learning mechanism; prediction; spiking neural network

Indexed keywords

BASIC ELEMENTS; GRAIN YIELD; LEARNING MECHANISM; NATIONAL ECONOMY; PREDICTING MODELS; SPIKING NEURAL NETWORKS; SPIKING NEURON;

EID: 80053150952     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSN.2011.6014244     Document Type: Conference Paper
Times cited : (6)

References (15)
  • 1
    • 34548128862 scopus 로고    scopus 로고
    • Knowledge representation and learning mechanism based on networks of spiking neurons
    • QX Wu, DA Bell, G. Qi, and JY. Cai, Knowledge representation and learning mechanism based on networks of spiking neurons,proceedings of IEEE SMC 2006, pp.2796-2801.
    • (2006) Proceedings of IEEE SMC , pp. 2796-2801
    • Wu, Q.X.1    Bell, D.A.2    Qi, G.3    Cai, J.Y.4
  • 2
    • 71049128082 scopus 로고    scopus 로고
    • A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection
    • Ghosh-Dastidar S, Adeli H. A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection,Neural Networks, Elsvier Science(2009)1419-1431.
    • (2009) Neural Networks, Elsvier Science , pp. 1419-1431
    • Ghosh-Dastidar, S.1    Adeli, H.2
  • 4
    • 80053162862 scopus 로고    scopus 로고
    • The application of manpower nerve net in food saleforecast
    • 5
    • BAI Yang, The application of manpower nerve net in food saleforecast, Journal of Agricultural Mechanization Research,2005.5 volume 3.pp 207-211.
    • (2005) Journal of Agricultural Mechanization Research , vol.3 , pp. 207-211
    • Bai, Y.1
  • 5
    • 33748540435 scopus 로고    scopus 로고
    • Learning under weight constraints in networks of temporal encoding spiking neurons
    • QX Wu, T.M. McGinnity, L.P. Maguire, Learning under weight constraints in networks of temporal encoding spiking neurons, International Journal of Neurocomputing, 69 (16-18): pp.1912-1922
    • International Journal of Neurocomputing , vol.69 , Issue.16-18 , pp. 1912-1922
    • Wu, Q.X.1    McGinnity, T.M.2    Maguire, L.P.3
  • 6
    • 23844463151 scopus 로고    scopus 로고
    • Hieu tat Nguyen, A gradient descent rule for spiking neurons emitting multiple spikes
    • Olaf Booij, Hieu tat Nguyen, A gradient descent rule for spiking neurons emitting multiple spikes, Information Processing Letters, Elsvier Science, Volume 95, Issue 6,Pages 552-558
    • Information Processing Letters, Elsvier Science , vol.95 , Issue.6 , pp. 552-558
    • Booij, O.1
  • 7
    • 77949694973 scopus 로고    scopus 로고
    • A novel approach for image representation and matching based on mixed graph structure
    • Lin Y, Teng Z J, "A Novel Approach for Image Representation and Matching Based on Mixed Graph Structure", IEEE Conferenc, CISE2009.
    • IEEE Conferenc, CISE2009
    • Lin, Y.1    Teng, Z.J.2
  • 8
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • D. E. Rumelhart, & J L. McClelland (Eds.). Cambridge, MA: MIT Press
    • Rumelhart, D. E., Hinton, G. E., & Williams, R. J (1986). Learning internal representations by error propagation. In D. E. Rumelhart, & J L. McClelland (Eds.), Parallel distributed processing: Vol. 1 (pp. 318-362). Cambridge, MA: MIT Press.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 10
    • 0036505590 scopus 로고    scopus 로고
    • Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks
    • Bohte M (2002). Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks. IEEE Transaction on Neural Networks, 13(2): 426-435.
    • (2002) IEEE Transaction on Neural Networks , vol.13 , Issue.2 , pp. 426-435
    • Bohte, M.1
  • 11
    • 0031472340 scopus 로고    scopus 로고
    • Networks of spiking neurons: The third generation of neural network models
    • A Control Chart Pattern Mass W(1997)
    • Jenn-Hwai Y, Miin-Shen Y (2005). A Control Chart Pattern Mass W(1997). Networks of spiking neurons: the third generation of neural network models, Neural Networks 10(9): 1659-1671.
    • (2005) Neural Networks , vol.10 , Issue.9 , pp. 1659-1671
    • Jenn-Hwai, Y.1    Miin-Shen, Y.2
  • 12
    • 0032871941 scopus 로고    scopus 로고
    • SpikeNET: A simulator for modeling large networks of integrate and fire neurons
    • A. Delorme, J. Gautrais, R. VanRullen, and S.J. Thorpe,"SpikeNET: A simulator for modeling large networks of integrate and fire neurons," Neurocomputing, 26-27, pp.989-996, 1999.
    • (1999) Neurocomputing , vol.26-27 , pp. 989-996
    • Delorme, A.1    Gautrais, J.2    Vanrullen, R.3    Thorpe, S.J.4
  • 13
    • 0029821128 scopus 로고    scopus 로고
    • A neuronallearning rule for sub-millisecond temporal coding
    • W. Gerstner, R. Kempter, J.L. Hemmen, H. Wagner, A neuronallearning rule for sub-millisecond temporal coding, Nature 383 (1996) 76-78.
    • (1996) Nature , vol.383 , pp. 76-78
    • Gerstner, W.1    Kempter, R.2    Hemmen, J.L.3    Wagner, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.