SVM kernel function is one of the most critical factors that affect the recognition rate.
SVM核函数是众多影响识别率因素中最明显的。
The key technology improves the system recognition rate is the SVM kernel function and parameter optimization.
该系统提高识别率的技术关键是SVM核函数的选取及其参数优化。
The comparison of different kernel functions for SVM shows that RBF kernel function is most suitable for recognition of grape disease.
不同分类核函数的相互比较分析表明，径向基核函数最适合于葡萄病害的分类识别。
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