A kind of watershed similarity classification method and classification device
A similarity and watershed technology, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems of no unified quantification standard, similarity index can not capture hydrological laws, etc., to ensure high efficiency and objective stability, Promoting in-depth development, strong effect of nonlinear mapping
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[0077] The present invention will be further described below with reference to the accompanying drawings and specific examples.
[0078] It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0079] like figure 1 As shown, the present invention provides a watershed similarity classification method, comprising the following steps:
[0080] Step 1: Collect hydrology, meteorology, and underlying surface data of the predetermined watershed, extract meteorological and underlying surface factors, and construct characteristic indicators;
[0081] Step 2, using the distance correlation coefficient between the hydrological feature of the predetermined watershed and the meteorological and underlying surface factors to select the feature index, and set the correlation threshold to determine the meteorological and underlying surface similarity index;
[0082] Step 3, based on the SO...
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