Aiming at the problem of large optimization size in dynamic outlier detection, this paper proposes a Kernel-based Real-time Outlier Detection (KROD) method.
针对动态野点数据检测过程中可能存在的优化规模过大的问题，提出了一种基于核方法的实时野点检测方法：KROD。
In the paper, GBGM-GA is seen the optimization technique combining KPCA and GA, and is suitable to the optimization selection of kernel function parameter.
本文采用高斯变异遗传算法作优化技术，实现了KPCA和GA的集成，适合核函数参数的优化选择。
This paper based on ambiguity function theory analyzes the cause of cross-components and gives the optimization algorithm of adaptive TFD with radially-gaussian kernel.
文中以模糊函数理论为基础，分析了时频分析产生交叉项的原因，给出了以径向高斯函数为核函数的自适应时频分析优化算法。
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