神经网络模型在水华预警领域的应用及展望  

Application and Prospects of Neural Network Model on Algal Bloom Early-Warning

作　　者：张淑珍 王培京 张祎梦 

机构地区：[1]北京市水科学技术研究院,北京 [2]北京市南水北调水质监测中心,北京 [3]北京市政路桥建材集团有限公司,北京

出　　处：《水污染及处理》2020年第4期104-109,共6页Water Pollution and Treatment

摘　　要：从神经网络模型的特点入手,详细介绍了神经网络模型在水华预警中的研究进展。通过梳理神经网络模型在藻类生物量预测和水华风险评估两方面的应用情况,分析其在应用中存在的问题及优化方法,并展望未来研究方向,以期推动和深化水华预警模型研究。At the beginning of this paper, the specific property of neural networks and the significance of its application in algal bloom early-warning were introduced briefly. The research and application status of neural network models in both prediction of algal biomass and algal bloom risk assessment, as well as existing problems and improved methods in the model study were analyzed. The future research direction was prospected in order to promote and deepen the study on algae bloom early-warning model.

关 键 词：神经网络 水华 预警模型 研究进展 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]