Real Time Prediction Method of Sensor Output Time Series

摘要：

In order to improve the real time prediction precision of sensor output time series,the predictable inner mechanism of time series is analyzed,and a method using wavelet filtering and neural network is proposed. Sensor output time series are first handled with wavelet filtering,and then predicted by neural network method. The proposed method can eliminate effect of measurement noise on prediction precision. Simulation experiment shows a higher prediction precision by the method. A new idea is given to increase prediction precision of sensor output time series by neural network-based methods.

关键词： time series prediction precision wavelet filtering neural network

作者: Zhicheng Liu Xudong Pei Gang Huang

作者单位: Department of Electrical Engineering Taiyuan institute of technology niversity,Taiyuan 030008,China School of Chemical Engineering and Environment,Beijing Institute of Technology,Beijing 100081,China Department of Electrical Engineering Taiyuan institute of technology university,Taiyuan 030008,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 2046-2049

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）