Slope deformation and soft soil foundation settlement prediction method based on GA-BP neural network

Abstract

The invention discloses a slope deformation and soft soil foundation settlement prediction method based on a GABP neural network, and the method comprises the steps: carrying out the optimization design of the structure, initial connection weight, initial threshold value, learning rate and momentum factor of the neural network through employing a genetic algorithm, and positioning a better searchspace in a solution space; and then optimizing the connection weight and the threshold of the network again in the small solution spaces by using a BP algorithm, and searching an optimal solution, sothat the optimized BP neural network can better predict the output of the function. According to the method, the BP neural network method and the genetic algorithm are combined, and the advantages ofthe two methods are fully utilized, so that the improved method not only has strong learning ability and robustness of the BP neural network, but also has global optimization ability of the genetic algorithm, and has the advantages of high prediction precision, high network convergence speed and the like; and a good effect is achieved on slope deformation and soft soil foundation settlement prediction.

Description

technical field [0001] The invention relates to the technical field of geological detection, in particular to a method for predicting slope deformation and soft soil foundation settlement based on GA-BP neural network. Background technique [0002] As we all know, the deformation prediction of slope and soft soil foundation has always been a difficult and hot issue in civil engineering. At present, the deformation prediction of slopes and soft soil foundations faces two engineering problems: Engineering problem 1: Slope displacement and instability are deformation phenomena often encountered in engineering slopes. Predicting the development dynamics of slope deformation has a great impact on slope stability However, it is still very difficult to accurately predict the change of this complex nonlinear system due to the comprehensive influence of multiple factors such as slope medium parameters, structural shape and external environment. Engineering problem 2: With the contin...

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Problems solved by technology

At present, the deformation prediction of slopes and soft soil foundations faces two engineering problems: Engineering problem 1: Slope displacement and instability are deformation phenomena often encountered in engineering slopes. Predicting the development dynamics of slope deformation has a great impact on slope stability However, it is still very difficult to accurately predict the change of this complex nonlinear system due to the comprehensive influence of multiple factors such as slope medium parameters, structural shape, and external environment.

[0005] Commonly used dynamic forecasting methods are: gray system method, artificial neural network method, genetic algorithm, and the prediction accuracy is roughly sorted from high to low: artificial neural network method, genetic algorithm, gray system method, but the artificial neural network method converges slowly , easy to fall into local optimum

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