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| 基于粗糙集与支持向量机的禽蛋蛋壳无损检 | |
| 引用本文： | 何丽红,刘金刚,文友先.基于粗糙集与支持向量机的禽蛋蛋壳无损检[J].农业机械学报,2009,40(3):167-171. |
| 作者姓名： | 何丽红 刘金刚 文友先 |
| 作者单位： | 1. 湖南工程学院机械系,湘潭,411101 2. 湘潭大学机械工程学院,湘潭,411105 3. 华中农业大学工程技术学院,武汉,430070 |
| 基金项目： | 湖南工程学院硕博基金 |
| 摘 要： | 针对当前禽蛋蛋壳无损检测系统存在检测精度不高的问题,提出粗糙集和支持向量机相结合的方法进行分类器的设计.首先,基于粗糙集理论对特征参数集进行属性约简,在约简过程中,利用模糊C均值聚类算法对特征参数进行量化,并基于属性重要性的启发式搜索对条件属性进行约简;然后,在属性约简的基础上完成支持向量机分类器的训练,在训练过程中,通过交叉验证法对分类器模型参数进行了优化.实验结果表明该方法的分类准确率能够达到94.6%,具有良好的工程应用价值. |
| 关 键 词： | 蛋壳 无损检测 支持向量机 粗糙集 |
Testing of Eggshell Based on Rough Sets and Support Vector Machine |
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| He Lihong,Liu Jingang,Wen Youxian.Testing of Eggshell Based on Rough Sets and Support Vector Machine[J].Transactions of the Chinese Society of Agricultural Machinery,2009,40(3):167-171. | |
| Authors: | He Lihong Liu Jingang Wen Youxian |
| Institution: | 1.Department of Mechanical Engineering;Hu'nan Institute of Engineering;Xiangtan 411101;China 2.College of Mechanical Engineering;Xiangtan University;Xiangtan 411105;China 3.College of Engineering and Technology;Huazhong Agricultural University;Wuhan 430070;China |
| Abstract: | Aiming at solving the problem of low accuracy existing in the nondestructive testing system for eggshell,a new hybrid scheme of rough sets and support vector machine for classifier designing was proposed.First,redundant characteristic parameters were reduced based on the rough sets theory.During reducing process,the characteristic parameters were quantified by fuzzy C means clustering algorithm,and the condition attributes were reduced via heuristic search according to their own importance.And then,the clas... |
| Keywords: | Eggshell Nondestructive testing Support vector machine Rough set |
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