| 基于RBF网络的粮食水分检测数据融合研究 |
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| 引用本文： | 薛海燕,邹丽霞. 基于RBF网络的粮食水分检测数据融合研究[J]. 计算机与现代化, 2011, 0(6): 103-107. DOI: 10.3969/j.issn.1006-2475.2011.06.029 |
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| 作者姓名： | 薛海燕 邹丽霞 |
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| 作者单位： | 1. 郑州航空工业管理学院计算机科学与应用系,河南,郑州,450015
2. 河南广播电视大学计算机系,河南,郑州,450005 |
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| 摘 要： | 为了提高测量的准确性和快捷性,需要融合处理多传感器检测的数据。本文首先介绍BRF网络的特性和训练方式,然后进行样本数据采集、样本数据归一化、神经网络的训练及其结构的确定,完成基于RBF网络的水分检测数据处理过程,实现粮食水分检测中的多传感数据融合。经过Matlab中的神经网络模型训练后,实验结果表明,拟合值始终在目标值上下波动,波动的范围在7%以内,该方法具有较大的优越性,可在其它工业领域中推广应用。
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| 关 键 词： | 数据融合 径向基函数网络 水分检测 |
Research on Grain Moisture Detection Data Fusion Based on RBF Network |
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| XUE Hai-yan,ZOU Li-xia. Research on Grain Moisture Detection Data Fusion Based on RBF Network[J]. Computer and Modernization, 2011, 0(6): 103-107. DOI: 10.3969/j.issn.1006-2475.2011.06.029 |
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| Authors: | XUE Hai-yan ZOU Li-xia |
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| Affiliation: | XUE Hai-yan1,ZOU Li-xia2(1.Dept.of Computer Science and Application,Zhengzhou Institute of Aeronautical Industry Management,Zhengzhou 450015,China,2.Dept.of Computer,Henan Radio and Television University,Zhengzhou 450005,China) |
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| Abstract: | For improving the accuracy and speed of measurement,it needs to deal with the data from multi-sensors.Firstly,this paper introduces the characters and training mode of BRF network,and then describes the whole processes,which includes data collection,data normalization,neural network training and network structure selection,using multi-sensors to detect the grain moisture based on BRF network.Lastly,trained by the net models in Matlab,the results prove that the fitted value fluctuates around target values an... |
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| Keywords: | data fusion BRF network moisture detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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