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电路实验结果的机器评价研究 被引量：2

Research on machine evaluation of circuit experiment results
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摘要 提出了实验教学中基于＂支持向量回归＂的电路实验结果机器评价的新方法,以基本放大电路实验为研究对象。首先通过幅频特性测试仪采样,得到基本放大电路输出特性数据集,然后进行支持向量回归,得到基本放大电路的输出特性曲线的逼近函数,用该函数对实验结果中的相关参数进行测定。实验表明,该方法提高了电路实验结果评价的效度与精度,可在实验教学中应用与推广。 A machine evaluation method of circuit experiment results based on SVM（support vector machine） is presented.The basic amplifier is taken as an experiment object.First,the data set of the output frequency of the basic amplifier is obtained by amplitude frequency characteristics testing equipment to get samples,then the support vector regression is used to get the approach function of the amplifier output characteristics of the basic amplifier,and the function is used to test the correlation parameters of the experiment result.The experimental results show that this method improves the validity and precision of the experimental result evaluation.It is suitable for applying to and popularizing in experiment teaching.
作者 张爱华 于忠党
机构地区 渤海大学信息科学与工程学院
出处 《实验技术与管理》 CAS 北大核心 2010年第3期46-49,共4页 Experimental Technology and Management
基金 2009辽宁省教育厅项目(2009A045)
关键词 支持向量回归 电路实验结果 机器评价 support vector regression circuit experiment result machine evaluation
分类号 TM133 [电气工程—电工理论与新技术] G642.423 [文化科学—高等教育学]
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参考文献5

  • 1CristianiniN Shawe-TaylorJ 李国正译.支持向量机导论[M].北京:电子工业出版社,2004..
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二级参考文献12

  • 1Vapnik V 张学工译.Nature of Statistical Learning Theory(统计学习理论的本质)[M].Beijing(北京):Tsinghua University Press(清华大学出版社),2000..
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共引文献171

同被引文献14

引证文献2

二级引证文献3

实验技术与管理
2010年 第3期

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