인공신경망 소개 및 발전 동향

  • 유성현 (고려대학교 전기전자공학부) ;
  • 안춘기 (고려대학교 전기전자공학부)
  • Published : 2017.08.01

Abstract

Keywords

References

  1. http://www.dt.co.kr/contents.html?article_no=2016031602109931033004
  2. http://news.mt.co.kr/mtview.php?no=2015022514525399240
  3. The Industrial Electronics Handbook 2nd Edition Intelligent systems, 2011 by Taylor and Francis Group
  4. Y. Iiguni ; H. Sakai ; H. Tokumaru, "A realtime learning algorithm for a multilayered neural network based on the extended Kalman filter", IEEE Transactions on Signal Processing, 40(4), Apr 1992
  5. E.A. Wan ; R. Van Der Merwe, "The unscented Kalman filter for nonlinear estimation", Adaptive Systems for Signal Processing, Communications, and Control Symposium 2000. AS-SPCC. The IEEE 2000
  6. N. de FreitasC. AndrieuP. Hojen-SorensenM. NiranjanA. Gee. "Sequential Monte Carlo Methods for Neural Networks", Part of the Statistics for Engineering and Information Science book series (ISS), pp 359-379
  7. L. Vecci, .F. Piazza, and A. Uncini, "Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural Networks", 11(2), Mar, 1998, pp 259-270 https://doi.org/10.1016/S0893-6080(97)00118-4
  8. S. Zhang, W. Chen, F. M. Ghannouchi, and Y. Chen, "An iterative pruning of 2-D digital predistortion model based on normalized polynomial terms", Microwave Symposium Digest (IMS), 2013 IEEE MTT-S International, Seattle, WA, USA
  9. C. K. Ing and T. L. Lai, "A stepwise regression method and consistent model selection for highdimensional sparse linear models", Institute of Statistical Science, Academia Sinica, 21(4), Oct 2011, pp1473-1513
  10. Z. Z. Latt and H. Wittenberg, "Improving Flood Forecasting in a Developing Country: A Comparative Study of Stepwise Multiple Linear Regression and Artificial Neural Network", Water Resources Management, 28(8) Jun 2014, pp 2109-2128
  11. http://www.silverwolf.co.kr/algorithm/4831
  12. https://en.wikipedia.org/wiki/Rectifier_(neural_networks)