Study of neural network ensembles algorithm based CPU parallel structure

Ting Fa Xu; Jian Zhong Song; Shuang Qiao

Study of neural network ensembles algorithm based CPU parallel structure

Ting Fa Xu^*, Jian Zhong Song, Shuang Qiao

^*此作品的通讯作者

科研成果: 期刊稿件 › 文章 › 同行评审

2 引用（Scopus）

摘要

A neural network ensemble algorithm used in automatic target recognition (ATR) was designed based on many CPU parallel structure. It is formed a same type classifier under different size and initial condition, by BP neural networks. Real-time recognition was run by the neural networks system. The result showed that statistic recognition rate was up to 95 percent for 9 type object. The processing was finished in 40 ms. The recognition rate was better than single neural networks obviously.

源语言	英语
页（从-至）	1183-1186
页数	4
期刊	Guangdianzi Jiguang/Journal of Optoelectronics Laser
卷	14
期	11
出版状态	已出版 - 11月 2003
已对外发布	是

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Xu, T. F., Song, J. Z., & Qiao, S. (2003). Study of neural network ensembles algorithm based CPU parallel structure. Guangdianzi Jiguang/Journal of Optoelectronics Laser, 14(11), 1183-1186.

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abstract = "A neural network ensemble algorithm used in automatic target recognition (ATR) was designed based on many CPU parallel structure. It is formed a same type classifier under different size and initial condition, by BP neural networks. Real-time recognition was run by the neural networks system. The result showed that statistic recognition rate was up to 95 percent for 9 type object. The processing was finished in 40 ms. The recognition rate was better than single neural networks obviously.",

keywords = "Automatic target recognition (ATR), Neural network ensemble, Parallel structure, Posterior probability",

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AU - Qiao, Shuang

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KW - Parallel structure

KW - Posterior probability

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Study of neural network ensembles algorithm based CPU parallel structure

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