| 探空仪湿敏电容器的误差校正模型研究 |
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| 引用本文： | 张颖超,王飞帆,廖俊玲.探空仪湿敏电容器的误差校正模型研究[J].传感器与微系统,2013,32(5):51-53,56. |
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| 作者姓名： | 张颖超 王飞帆 廖俊玲 |
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| 作者单位： | 南京信息工程大学信息与控制学院,江苏南京,210044 |
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| 基金项目： | 公益性行业(气象)科研专项资助项目，江苏省高校优势学科建设工程资助项目，江苏省农业科技自主创新资金资助项目(SCX，江苏省产学研联合创新资金-前瞻性联合研究资助项目，南京市产学研资金资助项目 |
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| 摘 要： | 为了减小探空仪湿敏电容器在高空大气,特别是低温环境下的测量误差,设计了一种基于改进型pi-sigma模糊神经网络的误差校正模型,采用了K-means聚类算法和权值直接确定法提高了网络性能。通过实际测试和BP神经网络进行比较,结果显示:pi-sigma模糊神经网络和BP神经网络对于-30～40℃的144组训练样本的最大相对误差分别为4.774%,15.27%,收敛时间分别为0.01,2 s。4组检验样本结果证明:pi-sigma模糊神经网络有效实现了湿敏电容器在低温条件下的温度补偿和非线性校正,同时在预测精度、泛化能力以及训练速度上均优于BP神经网络。
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| 关 键 词： | pi-sigma模糊神经网络 K-means聚类 权值直接确定 湿敏电容器 误差校正 |
Research on error calibration model of radiosonde humicap |
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| ZHANG Ying-chao
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WANG Fei-fan
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LIAO Jun-ling.Research on error calibration model of radiosonde humicap[J].Transducer and Microsystem Technology,2013,32(5):51-53,56. |
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| Authors: | ZHANG Ying-chao WANG Fei-fan LIAO Jun-ling |
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| Affiliation: | (Information and Control College,Nanjing University of Information Science and Technology,Nanjing 210044,China) |
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| Abstract: | A modified pi-sigma fuzzy neural network error calibration model is designed to decrease measurement error of radiosonde humicap in upper atmosphere especially in low temperature environment.K-means clustering algorithm and weights direct determination method is implemented to improve network performance.Practical test result is compared with BP neural network,it shows that the maximum relative error of 144 groups of train samples at temperature of-30 ~40 ℃ are 4.774 %,15.2 % respectively,convergence time are 0.01,2s respectively.Result of 4 groups of test samples demonstrates that pi-sigma fuzzy neural network effectively realizes temperature compensation and nonlinear correction,and is prior to BP network in predicting precision,generalization ability and training speed. |
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| Keywords: | pi-sigma fuzzy neural network K-means clustering weight direct determination humicap error calibration |
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