| 数据融合技术在农业专家系统中的应用 |
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| 引用本文： | 武晓嘉,杨盘洪.数据融合技术在农业专家系统中的应用[J].太原理工大学学报,2005,36(3):282-285. |
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| 作者姓名： | 武晓嘉 杨盘洪 |
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| 作者单位： | 太原理工大学,信息工程学院,山西,太原,030024 |
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| 基金项目： | 国家863计划资助项目(2001AA115270) |
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| 摘 要： | 简述了多传感器数据融合结构和方法及D S证据理论的基本内涵,并将这种方法同农业专家系统相结合,针对农业环境和资源监测的具体实际,构造了基本概率分配函数,获得了精确的测量结果。实践证明,该法可有效提高农业专家系统的决策准确度,更好的指导农业生产。
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| 关 键 词： | 多传感器数据融合 专家系统 Bayes估计 D-S证据理论 基本概率分配函数 |
| 文章编号： | 1007-9432(2005)03-0282-04 |
| 修稿时间： | 2004年10月24 |
The Research of An Application of Data Fusion Technology in Agriculture Expert System |
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| WU Xiao-jia,YANG Pan-hong.The Research of An Application of Data Fusion Technology in Agriculture Expert System[J].Journal of Taiyuan University of Technology,2005,36(3):282-285. |
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| Authors: | WU Xiao-jia YANG Pan-hong |
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| Abstract: | This paper mainly discusses the architecture and algorithm of multi sensor data fusion and the D S evidence theory, which is combined with agriculture expert system. Through testing of the agriculture environments and resources, we consturct a probability assignment function and get precise result, with which to help expert system make decision. As a result, we can improve decision-making accuration of agriculture expert system, supervise agriculture production more effectively. |
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| Keywords: | Multi sensor data fusion expert system Bayes estimation D S evidence system Basic probability assignment function |
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