Support vector machines for surrogate modeling of electronic circuits

Author:

Ciccazzo Angelo,Pillo Gianni Di,Latorre Vittorio

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference19 articles.

1. Chang C-C, Lin C-J (2011) LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2:1–27. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm/

2. Gorissen D, De Tommasi L, Hendrickx W, Croon J, Dhaene T (2008) RF circuit block modelling via Kriging surrogates. In: 17th international conference on microwaves, radar and wireless communications, MIKON 2008, IEEE Computer Society, New York, pp 1–4

3. Gorissen D, De Tommasi L, Crombecq K, Dhaene T (2009) Sequential modelling of a low noise amplifier with neural networks and active learning. Neural Comput Appl 18:485–494

4. Hsu CW, Chang CC, Lin CJ (2003) A practical guide to support vector classification. Technical report, Department of Computer Science and Information Engineering, National Taiwan University. http://www.csie.ntu.edu.tw/~cjlin/papers/guide/

5. Liu B, Zhao D, Reynaert P, Gielen G (2011) Synthesis of integrated passive components for high-frequency RF ICs based on evolutionary computation and machine learning techniques. IEEE Trans Comput Aided Des Integr Circuits Syst 30:1458–1468

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