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Volumn , Issue , 2005, Pages 528-534

An active learning scheme using support vector machines for analog circuit feasibility classification

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING SCHEME; ANALOG CIRCUITS; SUPPORT VECTOR MACHINES (SVM);

EID: 27944501517     PISSN: 10639667     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (18)
  • 6
    • 0035679940 scopus 로고    scopus 로고
    • A robust algorithm for automatic development of neural-network models for microwave applications
    • V. Devabhaktuni, M. Yagoub, and Q.-J. Zhang. A robust algorithm for automatic development of neural-network models for microwave applications. IEEE Transactions on Microwave Theory and Techniques, 49(12):2282-2291, 2001.
    • (2001) IEEE Transactions on Microwave Theory and Techniques , vol.49 , Issue.12 , pp. 2282-2291
    • Devabhaktuni, V.1    Yagoub, M.2    Zhang, Q.-J.3
  • 8
    • 0030171646 scopus 로고    scopus 로고
    • Feasibility and performance region modeling of analog and digital circuits
    • Kluwer Academic Publishers
    • R. Harjani and J. Shao. Feasibility and performance region modeling of analog and digital circuits. In Analog Integrated Circuits and Signal Processing, volume 10, pages 23-43. Kluwer Academic Publishers, 1996.
    • (1996) Analog Integrated Circuits and Signal Processing , vol.10 , pp. 23-43
    • Harjani, R.1    Shao, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.