Efficient target recognition method for large scale data

Yan Ning Zhang, Rong Chun Zhao, Yee Leung

科研成果: 期刊稿件文章同行评审

9 引用 (Scopus)

摘要

An efficient target recognition method for large scale data was proposed, based on self-organizing map neural network and support vector machine. The target data set is divided into clusters by self-organizing map. Then, the support vector machine is applied to classify targets. This method can be used to classify the complex XOR problem and Iris and Appendicitis data. The experimental results show that this method can obtain better recognition results for the complex pattern classification of large scale data, and the training time is shorter than that by the support vector machine method only.

源语言英语
页(从-至)1533-1535
页数3
期刊Tien Tzu Hsueh Pao/Acta Electronica Sinica
30
10
出版状态已出版 - 10月 2002

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