Information Fusion Technology on Signal Analysis of Chrysanthemum Coronarium
The information fusion technology was used for processing plant electrical signals. Weak electrical signals of the plant were tested by a touching test system of self-made double shields with platinum sensors. Tested data of electrical signals were denoised with the wavelet soft threshold. A novel autoregressive integrated moving average (ARIMA) model of weak electric signals of Chrysanthemum coronarium was constructed by the information fusion technology for the first time, that is, X t =1.86218X t-1 -0.86218X t-2 +st + 0.28666st-l -0.22095X t-2 -0.11509X t-3 -0.13495X t-4. A fitting standard deviation was 0.67622. It has a well effect that the fitting variance and standard deviation of the model are the minimum. It is very importance that the plant electric signal with the data fusion is to understand self-adapting regulations on the growth relationship between the plant and environments. The forecast data can be used as preferences for the intelligent system on the adaptive characters of plants.
information fusion ARIMA model weak electrical signal chrysanthemum coronarium
Lanzhou Wang Qiao Li
College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, China 310018 College of Sciences, China Jiliang University, Hangzhou, Zheiiang, China 310018
国际会议
太原
英文
550-553
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）