节点文献
GA-SVM模型在煤质分析中的应用
The Research on the Application of Ga-Svm Model in Analysis of Coal Quality
【摘要】 利用支持向量机建立工业分析与元素分析的转化模型,并采用遗传算法对工况进行参数寻优(即GA-SVM模型),为燃烧提供了更好的指导。实验结果表明,模型具有更高的预测精度,且适用于更宽的煤质范围,研究成果具有一定理论意义和应用价值。
【Abstract】 Using genetic algorithm to search the optimum solution of the SVM model which was used to set up the transformation model(GA-SVM model) of industrial analysis and elemental analysis, so as to provide better guidance for combustion. The results show that, the model performs higher prediction accuracy and faster computing speed, and is suitable for a wider range of coal quality.
【关键词】 煤质;
工业分析;
元素分析;
支持向量机(SVM);
遗传算法(GA);
【Key words】 coal quality; industrial analysis; elemental analysis; support vector machine; genetic algorithm;
【Key words】 coal quality; industrial analysis; elemental analysis; support vector machine; genetic algorithm;
【基金】 全国大学生创新训练计划(201310294041x)
- 【文献出处】 微型电脑应用 ,Microcomputer Applications , 编辑部邮箱 ,2014年08期
- 【分类号】TQ531;TP181
- 【被引频次】1
- 【下载频次】54