The Application Research Of Deformation Prediction Model Based On Chaos Particle Swarm Neural Network

Deformation monitoring has been an important part in engineering construction,The final purpose of deformation monitoring is to make the correct prediction of the deformation of the deformation body by analyzing the observation data,and then provide the construction early warning for the project,to ensure the safety of construction,to avoid economic losses and the risk of people's lives.Therefore,it is significant to study the deformation prediction model.In this paper,the application of BP neural network based on chaotic particle swarm optimization to the prediction of deformation is studied,the main work is as follows:(1)Research on some of deformation prediction model which is commonly used,and focus on the BP neural network model by the analysis of their advantages and defects.Explores the fundamental cause of the defects of BP neural network,and identified improvement ideas for the cause of the defects,which is to optimize the weight and threshold value by the use of particle swarm optimization algorithm.(2)The effects of the parameters of the particle swarm optimization algorithm on the overall performance of the algorithm are studied,and carried on the simulation test with the aid of MATLAB programming.The simulation results show that the improved particle swarm own parameters can improve the overall performance of the algorithm to a certain extent.Further studied the principle,steps and deficiencies of the use of particle swarm optimization algorithm to improve the traditional BP algorithm,and in view of its deficiency,introduced the improvement strategy of Variation and chaos.(3)Aiming at the shortcomings of the particle swarm the BP neural network,mainly study the improvement ideas of the particle swarm algorithm,and proposed an embedded chaotic particle swarm algorithm,through simulation tests demonstrate the superiority of the algorithm,and then proposed the deformation prediction model which based on Chaotic Particle Swarm BP neural network.(4)Combining with the specific engineering examples,using the traditional BP neural network and the improved BP neural network model to predict the deformation with the aid of MATLAB programming.Through the comparison and analysis of the predicted results,to get the applicability and advantages of Chaotic Particle Swarm BP neural network.