Dangerous rock falling rock migration distance prediction method and device based on GPR
A technique for moving distances and falling dangerous rocks. It is applied in complex mathematical operations, special data processing applications, instruments, etc., and can solve problems such as difficulty in considering uncertain factors and difficult calculation results to achieve satisfactory results.
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[0062] The invention provides a GPR-based prediction method and device for the migration distance of dangerous rockfall, which effectively solves the problem of predicting the non-linear migration distance of dangerous rockfall. It is a prediction method with more accurate prediction results, strong applicability, strong generalization ability, self-adaptive parameters and easy implementation.
[0063] The present invention will be further illustrated below in conjunction with the accompanying drawings and specific test examples. It should be understood that these examples are only used to illustrate the present invention, and should not be construed as limiting the patent.
[0064] The nature of Gaussian process regression is determined by the mean function and covariance function, and its expression is as follows:
[0065] f(x)~GP(m(x),k(x,x')) (1)
[0066] in:
[0067] x,x'∈R d for any random variable
[0068] In actual calculation, the output vector is affected by n...
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