事件相关电位分类算法的比较

2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) Pub Date : 2017-08-01 DOI:10.1109/CAIPT.2017.8320734

A. Alsufyani

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引用次数: 2

摘要

我们比较了六种将低信噪事件相关电位(ERP)数据分类为欺骗性和非欺骗性的方法。相关系数法(CD)、线性核支持向量机法(LSVM)和径向基核支持向量机法(RBSVM)表现较差，幅值差分法(AD)表现较好。然而，一个简单的按个体权重的模板方法仍然表现更好。

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A comparison of classification algorithms for Event Related Potentials

We compare six methods for classifying low signal-to-noise Event Related Potential (ERP) data into deceiving and nondeceiving. Three methods perform poorly: Correlation Coefficient (CD), Support Vector Machine with linear Kernel (LSVM) and SVM with radial basis kernel (RBSVM), while another, Amplitude Difference (AD), performs satisfactorily. However, a simple by-individual weight template method performs better still.

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2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT)

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