基于RBF神经网络分析的微弱电信号预报
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摘要
采用自制双重屏蔽系统(屏蔽室和屏蔽箱结合)和自制的铂金传感器刺入植物茎部接触式微弱电信号的测试方法,对绿萝(Scindpsus aureus)植物的自身电信号进行了测试.利用小波软阈值消噪法对测试数据进行消噪,并进行了时间序列的高斯径向基函数神经网络预测.结果表明,利用径向基函数(RBF)人工神经网络对植物微弱电信号进行短期预测是可行的.预测数据可用作温室和/或塑料大棚生产中建立植物自适应电信号智能自动化控制系统的重要参数.
The original weak electrical signals in Scindpsus aureus were tested by a touching testing used platinum sensors in a system of self-made double shields.The tested data of the electrical signals were denoised by the wavelet softthreshold and using Gaussian radial base function(RBF) as the time series at a delayed input window chosen at 50.An intelligent RBF forecasting system was set up to forecast the signals in plants.The result shows that it is feasible to forecast the plant electrical signal for a short period.The forecast data can be used as the important preferences for the intelligent automatic control system based on the adaptive characteristic of plants to achieve the energy saving on agricultural production in the greenhouse and/or the plastic lookum.
The original weak electrical signals in Scindpsus aureus were tested by a touching testing used platinum sensors in a system of self-made double shields.The tested data of the electrical signals were denoised by the wavelet softthreshold and using Gaussian radial base function(RBF) as the time series at a delayed input window chosen at 50.An intelligent RBF forecasting system was set up to forecast the signals in plants.The result shows that it is feasible to forecast the plant electrical signal for a short period.The forecast data can be used as the important preferences for the intelligent automatic control system based on the adaptive characteristic of plants to achieve the energy saving on agricultural production in the greenhouse and/or the plastic lookum.
引文
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[20]WANG Lan-zhou,LI Hai-xia,LI Qiao.Studies on theplant electric wave signal by the wavelet analysis[C]∥ISIST’06 4th International Symposium on Instrumenta-tion Science and Technology.Harbin:Harbin Instituteof Technology Press,2006:520-525.
[21]WANG Lan-zhou,LI Hai-xia,LI Dong-sheng,A pre-diction on electric signals processing of Aloe vera var.chinensis[C]∥The 3rd International Conference onNatural Computation.NJ,USA:IEEE Computer Soci-ety,2007:90-94.
[22]DONOHO D L.De-moise by soft-thresholding[J].IEEE Transaction Information Theory,1995(3):613-327.
[23]NISHIDA S.Automatic detection method of P300 waveformin single sweep records by using a neural network[J].Medi-cal Engineering Physics,1994,16:425.
[24]韦保林,罗晓曙,汪秉宏,等.EEG信号的径向基函数神经网络预测[J].中国生物医学工程学报,2003,22(6):488-492.WEI Bao-lin,LUO Xiao-shu,WANG Bing-hong,etal.Prediction of EEG signal by using radial basis func-tion neural networks[J].Chinese Journal of GiomedicalEngineering,2003,22(6):488-492.
[25]PARK J,SANDBERG I W.Approximation and radial-basis-function networks[J].Neural Computation,1993,5(2):305-316.
[2]娄成后.高等植物生长发育中物质运输与信息传递(二)[J].生物学通报,1991(12):1-3.LOU Cheng-hou.The substance transportation and in-formation transfer during the growth of the higher plants(2)[J].Bulletin of Biology,1991(12):1-3.
[3]任海云,王学臣,娄成后.高等植物体内电信号存在的普遍性及其生理效应[J].植物生理学报,1993,19(1):97-101.REN Hai-yun,WANG Xue-cheng,LOU Cheng-hou.Theuniversal existence of electrical signals and its physiologicaleffects in higher plants[J].Journal of Plant Physiology andMolecular Biology,1993,19(1):97-101.
[4]DARWIN C.The power of movement in plants[M].London:John Murray,1881:65-85.
[5]DAVIES E.New functions for electrical signals inplants[J].New Phytologist,2004,161:607-610.
[6]SINYUKHIN A M,BRITIKOV E A.Generation of po-tentials in the pistils of Incarvillea and Lily in conjunc-tion with movement of the stigma and fertilization[J].Soviet Plant Physiology,1967,14:393-403.
[7]SINYUKHIN A M,BRITIKOVE A.Action potentialsin the reproductive system of plants[J].Nature,1967,215:1278-1280.
[8]王兰州,陈杰,柴中林.植物种群适应对策模型与生化机制[M].北京:科学出版社,2004:43-45.
[9]王忠义,陈端生,黄岚.温室植物生理指标监测及应用研究[J].农业工程学报,2000,16(2):101-104.WANG Zhong-yi,CHEN Duan-sheng,HUANG Lan.Plant physiological status monitoring system and its applica-tion in greenhouse[J].Transactions of the Chinese Society ofAgricultural Engineering,2000,16(2):101-104.
[10]郭庆胜,苏丛柏,陈翠荣.合欢树生物电位预测地震的机理探讨[J].山西地震,1999(增刊):25-27.GUO Qing-sheng,SU Cong-bai,CHEN Qui-rong.Discussion of prediction earthquake mechanism of bio-electric potential of silk tree[J].Earthquake Researchin Shanxi,1999(Suppl.):25-27.
[11]丁锦丽,丁桂英,李海霞,等.ZJ0967杀虫剂作用下的黄瓜幼苗电信号研究[J].浙江科技学院学报,2006,18(3):180-184.DING Jin-li,DING Gui-ying,LI Hai-xia,et al.Studyon electrical signals of seedlings of Cucumis sativus Lby a new insecticide“ZJ0967”[J].Journal of ZhejiangUniversity of Science and Technology,2006,18(3):180-184.
[12]王兰州,李海霞,林敏,等.统计分析方法在植物电波信号研究中的应用[J].吉首大学学报:自然科学版,2006,27(3):67-70.WANG Lan-zhou,LI Hai-xia,LIN Min,et al.Appli-cation statistical analysis method in the study of theplant electrical signal[J].Journal of Jishou University:Natural Science Edition,2006,27(3):67-70.
[13]李海霞,王兰州,李峤.君子兰叶片电信号的初步研究[J].中国计量学院学报,2005,16(1):62-65.LI Hai-xia,WANG Lan-zhou,LI Qiao.Study on elec-tric signals in Clivia miniata[J].Journal of China Jil-iang University,2005,16(1):62-65.
[14]郭金耀,杨晓玲.高等植物中的电信号研究进展[J].中国农学通报,2005,21(10):188-191.GUO Jin-yao,YANG Xiao-ling.Electrical signals inhigher plants[J].Chinese Agricultural Science Bulletin,2005,21(10):188-191.
[15]王兰州,曹文侠,令利军,等.石蒜叶片微弱电波动信号的测定[J].西北师范大学学报,2000,36(2):62-66.WANG Lan-zhou,CAO Wen-xia,LING Li-jun,et al.The determination of weak electrical signal in leaves ofLycoris radiata[J].Journal of Northwest Normal Uni-versity,2000,36(2):62-66.
[16]李海山,曹文侠,王兰州,等.油松与白皮松微弱电波信号振荡的研究[J].西北师范大学学报,2000,36(4):77-81.LI,Hai-shan,CAO Wen-xia,WANG Lan-zhou,et al.Study on weak signal for P.tabulaeformis and P.bun-geana[J].Journal of Northwest Normal University,2000,36(4):77-81.
[17]赵子恺.试论植物微弱电信号研究[J].中国计量学院学报,2002,13(3):253-257.ZHAO Zi-kai.A study on ultra-weak electronic signalin plants[J].Journal of China Jiliang University.2002,13(3):253-257.
[18]WANG Lan-zhou,LI Qiao,LI Dong-sheng,et al.A-nalysis of electrical signal in Osmanthus fragrans[C]∥The 6th International Symposium on Instrumentation andControl Technology.Beijing:SPIE,2006,6357:63570N1-63570N7.
[19]李峤,王兰州,李东升,等.三种菊科植物电信号的分析[J].中国计量学院学报,2006,17(4):333-336.LI Qiao,WANG Lan-zhou,LI Dong-sheng,et al.A-nalysis of electrical signal of three species in compositae[J].Journal of China Jiliang University,2006,17(4):333-336.
[20]WANG Lan-zhou,LI Hai-xia,LI Qiao.Studies on theplant electric wave signal by the wavelet analysis[C]∥ISIST’06 4th International Symposium on Instrumenta-tion Science and Technology.Harbin:Harbin Instituteof Technology Press,2006:520-525.
[21]WANG Lan-zhou,LI Hai-xia,LI Dong-sheng,A pre-diction on electric signals processing of Aloe vera var.chinensis[C]∥The 3rd International Conference onNatural Computation.NJ,USA:IEEE Computer Soci-ety,2007:90-94.
[22]DONOHO D L.De-moise by soft-thresholding[J].IEEE Transaction Information Theory,1995(3):613-327.
[23]NISHIDA S.Automatic detection method of P300 waveformin single sweep records by using a neural network[J].Medi-cal Engineering Physics,1994,16:425.
[24]韦保林,罗晓曙,汪秉宏,等.EEG信号的径向基函数神经网络预测[J].中国生物医学工程学报,2003,22(6):488-492.WEI Bao-lin,LUO Xiao-shu,WANG Bing-hong,etal.Prediction of EEG signal by using radial basis func-tion neural networks[J].Chinese Journal of GiomedicalEngineering,2003,22(6):488-492.
[25]PARK J,SANDBERG I W.Approximation and radial-basis-function networks[J].Neural Computation,1993,5(2):305-316.
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