基于遗传算法和支持向量机的储粮害虫图像识别Image Recognition of Stored-grain Pests Using SVM and GA
张建华;朱春华;
摘要(Abstract)：
建立支持向量机(SVM)模型,用遗传算法自动选择最优的核函数参数,利用该SVM与遗传算法相结合的新型算法对储粮害虫图像进行分类识别。结果表明,该方法所确定的SVM对储粮害虫具有较优的识别率,其整体性能优良。
关键词(KeyWords)： 储粮害虫;图像识别;遗传算法;支持向量机
基金项目(Foundation):
作者(Author): 张建华;朱春华;
Email:
DOI: 10.13989/j.cnki.0517-6611.2010.17.057
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