Flood prediction method and device based on long-short-term memory network and transfer learning
A long-short-term memory and transfer learning technology, applied in the flood prediction field based on long-short-term memory network and transfer learning, can solve problems such as a large amount of training data, increase the feature size, and ignore the physical process of rainfall flow patterns, and achieve improved capabilities. , the effect of improving the prediction accuracy
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[0043] Below in conjunction with specific embodiments, the present invention will be further illustrated, and it should be understood that these embodiments are only used to illustrate the present invention and not to limit the scope of the present invention. The modifications all fall within the scope defined by the appended claims of this application.
[0044] like figure 1 As shown, a flood prediction method based on long-short-term memory network and transfer learning disclosed in the embodiment of the present invention mainly includes 6 steps:
[0045] Step 1: Collect watershed-related physical geographic environment data and observation data from hydrological observation stations and preprocess the collected data;
[0046] Step 2: According to the similarity of the natural and geographical environment of the watershed, filter out the flood watershed similar to the target watershed as the source watershed for data migration;
[0047] Step 3: Use the DTW algorithm to cal...
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