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| 基于改进BP网络模型的洪水预报研究 | |
| 引用本文： | 张海亮,何东健,吴建华.基于改进BP网络模型的洪水预报研究[J].西北农林科技大学学报(社会科学版),2006,34(5):161-164. |
| 作者姓名： | 张海亮 何东健 吴建华 |
| 作者单位： | 1. 西北农林科技大学,机械与电子工程学院,陕西,杨凌,712100 2. 西北农林科技大学,信息工程学院,陕西,杨凌,712100 3. 太原理工大学,水利学院,山西,太原,030024 |
| 摘 要： | 针对目前神经网络应用于洪水预报时存在的不足,引入遗传算法、模糊神经网络对BP网络模型进行了改进,建立了基于改进BP网络模型的洪水预报模型,并将改进的BP网络模型应用于文峪河洪水过程的预报。预测结果表明,过程预报合格率达93．54%。达到了水文预报规范的要求;与传统BP网络相比,改进算法可提高洪峰的预报精度。 |
| 关 键 词： | 洪水预报 改进BP网络模型 遗传算法 模糊神经网络 |
| 文章编号： | 1671-9387(2006)05-0161-04 |
| 收稿时间： | 2005-12-27 |
| 修稿时间： | 2005年12月27 |
Research on flood forecast based on improved BP model |
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| ZHANG Hai-liang,HE Dong-jian,WU Jian-hua.Research on flood forecast based on improved BP model[J].Journal of Northwest Sci-Tech Univ of Agr and,2006,34(5):161-164. | |
| Authors: | ZHANG Hai-liang HE Dong-jian WU Jian-hua |
| Institution: | (College of Mechanical and Electronic Engineering, Northwest A & F University,Yangling, Shaanxi 712100,China; College of Information Engineering,Northwest A & F University,Yangling,Shaanxi 712100,China; College of Hydraulics Taiyuan University of Technology,Taiyuan,Shanxi 030024 ,China) |
| Abstract: | Aimed at the problem in ANN used for flood forecast ,this article introduced genetic algorithm, fuzzy algorithm to ameliorate the BP model, built the flood forecast model based on improved BP model. The result of model forecast indicated that the improved model used in Wenyuhe River flood forecast can reach standardized precision. The forecast qualification rate of process is 93.54%. Compared with classical model ,the optimized model improved the forecast precision of flood peak greatly. |
| Keywords: | flood forecast improved BP modal genetic algorithms fuzzy ANN |
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