|
|||||
|
|
| 灌溉用水量的并联型灰色神经网络预测 | |
| 引用本文： | 迟道才,唐延芳,顾 拓,于 淼,李 峥,马宗正.灌溉用水量的并联型灰色神经网络预测[J].农业工程学报,2009,25(5):26-29. |
| 作者姓名： | 迟道才 唐延芳 顾 拓 于 淼 李 峥 马宗正 |
| 作者单位： | 1. 沈阳农业大学水利学院,沈阳,110161 2. 密云县水务局,北京,101500 3. 北京市密云水库管理处,北京,101512 |
| 基金项目： | 水利部“948”科技创新项目（CT200516）；辽宁省教育厅科技公关项目（05L385） |
| 摘 要： | 该文提出了把人工神经网络和灰色预测方法结合成并联型灰色神经网络预测方法，用这种方法来预测灌溉用水量，并以预测方法有效度为优化指标求解组合模型加权系数。结果显示，灰色神经网络预测方法的平均误差为2.67%，明显低于单一的灰色预测方法和神经网络预测方法的平均误差，可以将这种组合方法应用于中长期灌溉用水量预测。 |
| 关 键 词： | 灌溉 并联型灰色神经网络 预测 数学模型 用水量 加权系数 |
| 收稿时间： | 2007/7/25 0:00:00 |
| 修稿时间： | 4/2/2009 12:00:00 AM |
Prediction of irrigation water use using parallel gray neural network |
|
| Chi Daocai,Tang Yanfang,Gu Tuo,Yu Miao,Li Zheng and Ma Zongzheng.Prediction of irrigation water use using parallel gray neural network[J].Transactions of the Chinese Society of Agricultural Engineering,2009,25(5):26-29. | |
| Authors: | Chi Daocai Tang Yanfang Gu Tuo Yu Miao Li Zheng and Ma Zongzheng |
| Institution: | 1.College of Water Resource;Shenyang Agricultural University;Shenyang 110161;China;2.Water Saving Office in Water Bureau of Miyun County;Beijing 101500;3.Beijing Miyun Reservoir Management Department;Beijing 101512;China |
| Abstract: | The paper put forward a forecast method named parallel gray neural network (PGNN), which was combined with neural network and the gray forecast method. The PGNN was adopted to forecast irrigation water use and the forecast method availability degree was used as the optimization index to calculate the weighted coefficient of the combination model. The results showed that the average error of PGNN was 2.67% and it was obviously lower than that of unitary gray and neural network forecast method. PGNN can be applied to forecast middle-long term irrigation water use. |
| Keywords: | irrigation parallel gray neural networks forecasting mathematical models water consumption weighted coefficient |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
| 点击此处可从《农业工程学报》浏览原始摘要信息 | |
| 点击此处可从《农业工程学报》下载免费的PDF全文 | |