Vehicle classification in wireless sensor networks based on rough neural network

被引：0

作者：

Qi, Huang ^{[1
]}

Ta, Xing ^{[1
]}

Ta, Liu Hai ^{[1
]}

机构：

[1] Univ Sci & Technol China, Dept Modern Phys, Hefei 230027, Anhui, Peoples R China

来源：

PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER SCIENCE AND TECHNOLOGY | 2006年

关键词：

algorithms and computation theories; rough neural network; vehicle classification; and wireless sensor networks;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a novel recognition system based on rough neural network is presented for the application of vehicle classification in wireless sensor network. The proposed system is evaluated using real-world signal datasets as well as two conventional methods. Compared with them, approach based on rough neural network achieves high performance improvement. Furthermore, the purposed system is extended for multi-channel sensor data fusion directly. Since the experiment results are attractive, algorithm based on rough neural network is believed to have potential for applications of recognition and data fusion in wireless sensor networks.

引用

页码：141 / +

页数：2

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