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Deformation Monitoring and Control of Geotechnical Engineering Based on Intelligent Optimal Algorithms

机译:基于智能优化算法的岩土工程变形监测与控制

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This paper mainly discusses the composition and working principle of the foundation pit monitoring system. Based on the idea of predictive control, an intelligent construction control system which integrates prediction and control of foundation pit construction deformation is established by using the theory of artificial neural network (Recurrent Neural Network) and fuzzy control(FC). The system consists of a neural network predictor and a fuzzy controller. Neural network predictor predicts the deformation of foundation pit by continuous rolling, and the fuzzy controller controls the construction parameters according to the predicted results. The simulation results show that the intelligent control of foundation pit construction deformation using the proposed scheme has higher intelligence quotient, better effect and better practical effect.
机译:本文主要讨论了基坑监测系统的组成和工作原理。基于预测控制的思想,利用人工神经网络(递归神经网络)和模糊控制(FC)的理论,建立了一种集基坑施工变形预测与控制于一体的智能化施工控制系统。该系统由神经网络预测器和模糊控制器组成。神经网络预测器通过连续滚动预测基坑的变形,模糊控制器根据预测结果控制施工参数。仿真结果表明,所提出的方案对基坑施工变形的智能控制具有较高的智能商,较好的效果和较好的实际效果。

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