Forecast Model for Water Requirement of Eggplant in Greenhouse based on GA-BP ANN

摘要：

The forecast model for water requirement of eggplant in greenhouse based on GA-BP ANN with maximum and minimum temperature, relative humidity and global radiation, temperature in ten cm depth under ground regarded as the input and observed water requirement in plastic tent as output is established according to the long-term meteorological data in E-Zhou Water-saving Irrigation Experiment Station, Hubei Province, China. The application shows that the forecasting is in good agreement with the observation data with day to day average absolute error 0.53 mm/d and ten-day average standard error 0.2141 mm, and the efficacy index is about 94.24 %.

关键词： water requirement GA-BP ANN forecast efficacy indez

作者: GE Jiankun LUO Jinyao LIU Xinyang

作者单位: State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China

会议类型: 国际会议

会议名称: International Symposium of HAI Basin Integrated Water and Environment Management(海河流域水资源与水环境综合管理国际研讨会)

会议地点: 北京

会议语种:英文

页码: 419-423

在线出版日期: 2008-12-08（万方平台首次上网日期，不代表论文的发表时间）