Runoff prediction method based on attention mechanism and LSTM
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- UNIV OF ELECTRONICS SCI & TECH OF CHINA
- Publication Date
- 2019-09-27
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
technical field
[0001] The invention belongs to the field of hydrology and water resources, and more specifically, relates to a deep neural network based on attention mechanism and LSTM to predict the change of runoff. Background technique
[0002] Water resources are the main carrier of life on earth and one of the important natural resources supporting social and economic development and the progress of ecological civilization. Water resources are different from other resources in that it is a dynamic resource that changes with time and space. my country has a vast territory. Due to the extremely uneven distribution of water resources in time and space, this will lead to dry weather and little rain in some areas, while natural disasters such as floods will occur in other areas. For example, the South-to-North Water Diversion Project was built to solve the water shortage in some areas in the north. Therefore, water resources management and protection, planning and utiliza...