A support vector machine based modeling approach and a support vector machine based controlling approach are presented to analyze and control nonlinear systems with hysteresis.
我们提出了使用支持向量机作为迟滞非线性建模和控制工具的具体算法,来分析和精确控制迟滞系统。
In accordance with the features of non-linear and time varying for ferment process, a support vector machines (SVM) model is established for estimating the concentration of product.
针对非线性时变的发酵过程,建立了用于产物浓度预估的支持向量机(SVM)模型。
To combine the attribute reduction algorithm and the incremental training algorithm of support vector machine, a support vector machine classifier based on rough set is constructed.
将属性约简算法和支持向量机增量训练算法相结合,构造基于粗糙集数据预处理的支持向量机分类器。
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