Optimization of microwave circuit parameters by CMA-ES method
Author:
Affiliation:
1. Department of Electrical and Computer Engineering
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/comex/10/9/10_2021SPL0043/_pdf
Reference8 articles.
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2. [2] T. Jing, H. YuNan, and X. ZhiCai, “Optimization of analog circuit fault diagnosis parameters based on SVM and genetic algorithm,” Advances in Information Sciences and Service Sciences, vol. 4, no. 4.6, pp. 42-50, March 2012. DOI: 10.4156/AISS.vol4.issue4.6
3. [3] S. Majumdar and H. Parthasarathy, “Wavelet-based transistor parameter estimation,” Circuits, Systems and Signal Processing, vol. 29, pp. 953-970, Oct. 2010. DOI: 10.1007/s00034-010-9181-9
4. [4] B. Apolloni, S. Bassis, C. Mesiano, S. Rinaudo, A. Ciccazzo, and A. Marotta, “Statistical parameter identification of analog integrated circuit reverse models,” Proc. Int. Conf. Artificial Neural Networks, pp. 449-458, Sept. 2009. DOI: 10.1007/978-3-642-04274-4_47
5. [5] L. Zhou, Y. Shi, and W. Zhang, “Soft fault diagnosis of analog circuit based on particle swarm optimization,” Journal of Electric Science and Technology of China, pp. 358-361, Dec. 2009.
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