참고문헌
- D. Schleher, "Introduction to Electronic Warfare," Eaton Corp, AIL Div., Deer Park, NY, 1986.
- D. Schleher, "Electronic Warfare in the Information Age," Artech House Publishers, 1999.
- S. Lee, H. Bae, R. Kil, and C. Jo, "Classification of the Trained and Untrained Emitter Types based on Class Probability Output Networks," Neurocomputing, Vol. 248, pp. 67-75, 2017. https://doi.org/10.1016/j.neucom.2017.01.094
- S. Lee and R. Kil, “A Gaussian Potential Function Network with Hierarchically Self-Organizing Learning,” Neural Networks, Vol. 4, No. 2, pp. 207-224, 1991. https://doi.org/10.1016/0893-6080(91)90005-P
- R. Kil, “Function Approximation based on a Network with Kernel Functions of Bounds and Locality: an Approach of Non-Parametric Estimation,” ETRI Journal, Vol. 15, No. 2, pp. 35-51, 1993. https://doi.org/10.4218/etrij.93.0193.0004
- R. Wiley, "ELINT: The Interception and Analysis of Radar Signals," Artech House Publishers, 2006.
- M. D. Buhmann, "Radial Basis Functions: Theory and Implementations," Volume 12, Cambridge University Press, 2013.
- E. Parzen, "On the Estimation of a Probability Density Function and Mode," Annals of Mathematical Statistics, Vol. 33, pp. 1065-1076, 1962. https://doi.org/10.1214/aoms/1177704472
- T. Hwang, "Combination of Gaussian Kernel Function Networks for Traffic Flow Prediction," Sungkyunkwan University, Thesis, 2018.
- E. Brochu, V. M. Cora, N. Freitas, "A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning," eprint arXiv: 1012.2599, arXiv.org, 2010.
- J. Snoek, H. Larochelle, R. P. Adams, "Practical Bayesian Optimization of Machine Learning Algorithm," eprint arXiv:1021.2599, arXiv.org, 2012.
- Pedregosa, F. et al., "Scikit-Learn: Machine Learning in Python," Journal of Machine Learning Research, Vol. 12, pp. 2825-2830, 2011.