Method for predicting ground surface settlement caused by shield construction based on neural fuzzy inference system
An inference system and neuro-fuzzy technology, applied in neural learning methods, biological neural network models, electrical digital data processing, etc., can solve the problems of late feedback of surface subsidence information, slow feedback process, loss, etc. Practical, easy-to-use effects
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[0046] refer to Figure 1-2 , the method for predicting land surface subsidence caused by shield construction based on neuro-fuzzy reasoning system of the present invention, comprising the following steps:
[0047] A. Determine the effective data set according to the situation of the on-site monitoring point;
[0048] B. Establish a prediction model of land subsidence based on neuro-fuzzy reasoning system;
[0049] C. Select input variables in the effective data set, and input the input variables into the surface subsidence prediction model;
[0050] D. Calculate the prediction results and perform model verification.
[0051] The method for predicting land surface subsidence caused by shield construction based on neuro-fuzzy reasoning system of the present invention firstly selects the main influencing factors of ground subsidence caused by shield construction, and forms these main influencing factors into an effective data set, specifically, these main influencing factors ...
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