Cost Estimation of Post-Earthquake Rehabilitation of Industries Based on BP Neural Network

Yan Ru Wang; Mao Yu Zhang; Yu Xia

doi:10.4028/www.scientific.net/AMR.217-218.1789

Paper Titles

Study on the Analysis of Crack Causes and Control Measures of Prestressed Concrete Cylinder Pipe
p.1763

Research of Correlation Tracking Algorithm Based on the Function of the Minimum Average Absolute Difference
p.1769

Delaunay Graph Based Path Planning of Dynamic Obstacle Avoidance Method for Mobile
p.1775

Optimization Design of CTP Imaging Drum Based on ANSYS
p.1781

Cost Estimation of Post-Earthquake Rehabilitation of Industries Based on BP Neural Network
p.1789

An Amperometric Immunosensor Based on a Polyelectrolyte/Nano Gold Particle Layer-by-Layer Assembly Modified Electrode for the Determination of Clenbuterol in Meat
p.1793

The Design of High-Precision Capacitance Micro-Displacement Sensor
p.1797

The Design of Remote Monitoring and Diagnosis System Based on Virtual Instrument
p.1802

Research on the Buffer Zones of Cultural Heritages with the Theory of Soliton
p.1807

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 217-218Cost Estimation of Post-Earthquake Rehabilitation...

Cost Estimation of Post-Earthquake Rehabilitation of Industries Based on BP Neural Network

Abstract:

After the destructive earthquake, it is urgent that the damaged houses, infrastructure and industrial projects and other related equipment and facilities are to be rehabilitated and restored. How to carry out reconstruction investment plans of various sectors became a major concern to the government. To meet the needs of rapid recovery of production and life in affected areas, the method based on BP neural network is proposed to estimate the post-earthquake rehabilitation cost of industrial, agricultural and service projects. That method considers the macro-economic characteristics of every damaged area. It can provide some guidance for the government that need to make decisions of post-earthquake recovery and reconstruction plans.