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Abstract and Applied Analysis
Volume 2013, Article ID 231735, 7 pages
http://dx.doi.org/10.1155/2013/231735
Research Article

A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance

1College of Engineering, Bohai University, Jinzhou 121013, China
2Department of Engineering, Faculty of Engineering and Science, The University of Agder, 4898 Grimstad, Norway

Received 6 November 2013; Accepted 29 November 2013

Academic Editor: Ming Liu

Copyright © 2013 Aihua Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Qiwu Luo, Yigang He, Yichuang Sun, and Lifen Yuan, “Time-effective Fault Diagnosis Algorithms for Analog and Mixed-signal Circuits Using Sparsity-aware Multi-class Relevance Vector Machine,” 2018 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–4, . View at Publisher · View at Google Scholar
  • Jinna Lu, Hongping Hu, and Yanping Bai, “Radial Basis Function Neural Network Based on an Improved Exponential Decreasing Inertia Weight-Particle Swarm Optimization Algorithm for AQI Prediction,” Abstract and Applied Analysis, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Aihua Zhang, Yongchao Wang, Chen Chen, and Hamid Reza Karimi, “New Strategy for Analog Circuit Performance Evaluation under Disturbance and Fault Value,” Mathematical Problems in Engineering, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Yuanchang Zhong, Xu Huang, Pu Meng, and Fachuan Li, “PSO-RBF Neural Network PID Control Algorithm of Electric Gas Pressure Regulator,” Abstract and Applied Analysis, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar