Method for predicting subsidence of soil outside pit based on differential evolution support vector machine
A technology of support vector machine and differential evolution algorithm, applied in special data processing applications, instruments, electrical digital data processing and other directions, can solve problems such as complex underground pipelines
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[0060] Use the foundation pit data of Dalian Metro Wanjia Station for specific implementation.
[0061] Realize the DE algorithm in the Matlab environment, the ( , ) input as a parameter, ( A , O ) as the number of optimization variables, n =2, population number PN is 30, and the last 10 points are used as prediction inspection points. Choose different scaling factors and hybridization probability constants, F =0.1:0.1:1.0, Cr =0.1:0.1:1.0, a total of 100 cases.
[0062] From figure 2 It can be seen that 100 cases can converge quickly under a small number of iterations, and the convergence rate is 98%. There are two cases that do not converge, and the corresponding parameter ranges are:
[0063] ;
[0064] .
[0065] take here F =0.6, Cr =0.6; the parameters obtained after inversion are: A =0.8100; O =0.0022, bring the data into Expressed as follows:
[0066]
[0067] Fit Curve Image plot with the original discrete data compare, such as ima...
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