Processing on information fusion of weak electrical signals in plants

摘要：

Information transmission of weak electrical signals in Bellis perennis was inosculated by a touching test system of self-made double shields with platinum sensors. Tested data of electrical signals denoised by the wavelet soft threshold and using Gaussian radial base function (RBF) as the time series at a delayed input window chosen at 50. An intelligent RBF model was set up to forecast the signal in this plant Testing result shows that it is feasible to forecast the weak electrical signal of plants for a short period. The forecast data can be used as an important preference for the intelligent automatic control system based on the adaptive characteristic of plants both the greenhouse and /or plastic lookum to achieve the energy saving on agricultural production.

关键词： intelligent control information fusion RBF neural networks wavelet soft threshold denoising weak electrical signal Bellis perennis

作者: Lanzhou Wang Jinli Ding

作者单位: College of Life Sciences, China Jiliang University,Hangzhou 310018, Zhejiang, China College of Metrological Technology and Engineering,China Jiliang University, Hangzhou 310018, China

会议类型: 国际会议

会议名称: Third International Conference on Information and Computing(第三届信息与计算科学国际会议 ICIC 2010)

会议地点: 无锡

会议语种:英文

页码: 21-24

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）