The nonlinear offline model of the controlled plant is built by LS-SVM with the radial basis function (RBF) kernel.
首先,用具有RBF核函数的LS-SVM离线建立被控对象的非线性模型;
2
The different classification kernel functions are compared, and analysis shows that the radial base function most suits the corn leaf disease classification recognition.
不同的分类核函数的相互比较分析表明,径向基核函数最适合玉米病害的分类识别。
3
The kernel functions are generated to use polynomials and radial basic functions.