Research on Amplifier Performance Evaluation Based on Feature Double Weighted Support Vector Machine

摘要：

An evaluation for amplifier performance based on feature double weighted support vector machine was proposed in this paper. The evaluation system structure was conformed, relied on the college analog electronic technology experiments, adopted the amplifier performance four indexes obtained via amplitude-frequency tester in one year to construct training set, and then to be four classifier evaluation based on FDWSVM. Experiment results show that this method can improve the parameter test precision and is suitable for the evaluation of electronic products.

关键词： FDWSVM Amplifier Performance Evaluation Classifier

作者: Aihua Zhang

作者单位: College of Information Science and Engineering, BoHai University, JinZhou, 121000

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 806-809

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）