| 基于BP神经网络的压力传感器数据融合 |
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| 引用本文： | 章慧. 基于BP神经网络的压力传感器数据融合[J]. 湖南工程学院学报(自然科学版), 2011, 21(1): 55-58 |
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| 作者姓名： | 章慧 |
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| 作者单位： | 淮阴工学院,计算机工程学院,淮安,223003 |
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| 基金项目： | 国家自然科学基金资助项目，教育部重点科研资助项目，淮安市科技局2010年科技支撑计划资助项目 |
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| 摘 要： | 多传感器数据融合问题已经引起许多学者的广泛关注.通常,压力传感器都存在交叉灵敏度,其主要表现在传感器静态特性不仅受目标参量的影响还受多个非目标参量的影响.由于传感器的输出受多个参量的变化的影响,导致其性能不稳定,测量精度降低.针对温度、噪声、电源波动等多种环境因素影响压力传感器输出电压值这一问题,在阅读了大量的参考文献...
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| 关 键 词： | 数据融合 BP神经网络 压力传感器 |
Data Fusion of Pressure Sensor Based on BP Neural Network |
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| ZHANG Hui. Data Fusion of Pressure Sensor Based on BP Neural Network[J]. Journal of Hunan Institute of Engineering(Natural Science Edition), 2011, 21(1): 55-58 |
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| Authors: | ZHANG Hui |
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| Affiliation: | ZHANG Hui(School of Computer Engineering,Huaiyin Institute of Technology,Huaian 223003,China) |
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| Abstract: | The problem of multi-sensor data fusion has attracted the attention of many scholars.The cross-sensitivity always exists in the pressure sensor,whose static characteristics are not only subjected to the variety of target parameters but also affected by a number of non-target parameters.The sensor outputs are determined by the corresponding parameters which results in unstable performance and accuracy.Some environmental factors such as temperature,noise and power supply fluctuations will affect the output vo... |
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| Keywords: | data fusion BP neural network pressure sensor |
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