Deformation prediction programming based on MATLAB and BP neural network

¹ College of Resources, Environment and Tourism, Capital Normal University, Beijing, China
² State Key Laboratory of Urban Environmental Processes and Numerical Simulation, Beijing, China

^* Corresponding author: 1091793222@qq.com

Abstract

In order to solve land tension problems, high-rise buildings become more and more common in the modern big cities. Meanwhile, it is necessary to monitor the deformation of the high-rise buildings for their safety. Based on the deformation monitoring data, we can predict subsequent data, and then analyze the security situation of buildings. In this paper, we will introduce a prediction method, in which BP neural network and MATLAB program are applied. BP neural network is an algorithm that simulates biological neurons to train network learning. The principle of artificial neural network is to build a mathematical model of brain neural activity by imitating the neural activity of human brain. BP neural network has strong learning ability, generalization ability, nonlinear mapping ability and fault tolerance ability.