| 黄曦妮,查思慧.BP神经网络方法在灌区需水预测中的应用[J].江西水利科技,2017,(2):88-92 |
| BP神经网络方法在灌区需水预测中的应用 |
| Application of BP Neural Network Method on Water Requirement Forecasting in the Irrigatied Area |
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| DOI： |
| 中文关键词: BP神经网络 需水预测 灌区 Matlab |
| 英文关键词: BP neural network water demand prediction irrigated area Matlab |
| 基金项目: |
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| 中文摘要: |
| 以江西省廖坊水利枢纽灌区为例，通过查阅年鉴、现场调查和专家咨询确定影响需水量的主要因子，根据确定的主要影响因子构造BP神经网络的输入样本，利用Matlab软件平台编程，建立灌区需水模型。利用建立的模型预测2025年灌区的需水量与其他方法的预测成果进行比较，结果表明，BP神经网络方法在廖坊灌区需水量预测的应用上是成功的。 |
| 英文摘要: |
| Taking the irrigated area of Liaofang water conservancy project in Jiangxi Province as an example, the main factors influencing the water demand were determined by referring to the yearbook, field investigation and expert consultation. The input samples of BP neural network were constructed according to the main influencing factors, and the Water demand model of irrigated area was programmed by Matlab software platform. The results show that BP neural network is an effective method to forecast the water demand of irrigation area in 2025 and BP neural network is successful in the application of water demand forecast in LiaoFang irrigated area. |
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