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中文摘要：
结合核方法和局部线性嵌入（LLE）方法，提出了一种基于核局部线性嵌入方法，该方法克服了局部线性嵌入方法由于心电特征分布不均衡造成的不稳定问题。结合支持向量机在MIT-BIH心律失常标准数据库进行实验，并利用PCA和LLE进行特征提取比较，验证了该方法的有效性及优势。
英文摘要：
This paper investigates kernel method and Locally Linear Embedding（LLE） for proposed kernel method based locally linear embedding features extraction algorithm.The proposed kernel method based locally linear embedding overcomes the instability of locally linear embedding caused by incongruous ECG features distribution.Furthermore,this paper has realized the emulation experiments of MIT-BIH ECG Arrhythmias data base combining with support vector machine.A full comparison of features extraction by PCA and LLE demonstrates that the proposed method is effective.
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Multiperiodicity and attractivity of delayed recurrent neural networks with unsaturating piecewise l
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