Water resource utilization feature partitioning method based on self-organizing mapping artificial neural network

The invention relates to a water resource planning method, and aims to provide a water resource utilization characteristic zoning method based on a self-organizing mapping artificial neural network, so as to help a water resource manager to better understand the water resource utilization characteristics of each region, adopt similar management modes and strategies for regions with similar water resource utilization characteristics, and improve the water resource utilization efficiency. And the pertinence and adaptability of a water resource management policy are improved. According to the technical scheme, the water resource utilization feature partitioning method based on the self-organizing mapping artificial neural network comprises the following steps of 1, preparing a basic data set; 2, setting model parameters; 3, model calculation; and 4, carrying out partition merging. 本发明涉及一种水资源规划方法，目的是提供一种基于自组织映射人工神经网络的水资源利用特征分区方法，以帮助水资源管理者更好地了解各区域水资源利用特征，对水资源利用特征相近的地区采用相近的管理模式和策略，提升水资源管理政策的针对性和适应性。技术方案是一种基于自组织映射人工