介绍了几种新的基于核函数方法的软测量建模技术，并提出了针对复杂工业过程的混合核函数软测量建模方法。
Several new modeling technologies based on kernel function are introduced and the modeling method of soft measurement based on hybrid kernel function is stated for complicated industrial processes.
本文提出了基于支持向量机模型预测钢淬透性的方法，并分析了核函数的选择对支持向量机建模的影响。
In this paper, an SVM-based approach applied to predict steel quenching degree is presented, and the effects of selecting kernel function on SVM modeling are also analyzed.
基于离散时频分布的信号识别方法，将时频核设计问题转化为以信号自模糊函数为原始特征的特征选择问题，以实现特征降维和信号识别。
Actually the kernel design in the recognition method based on discrete time - frequency representation is a problem of feature selection from the ambiguity functions to reduce feature dimension.
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