STUDY ON DAM PREDICTION AND INVERSION WITH MULTI-SOURCE
MONITORING DATA BASED ON IPSO-BP MODEL
1)Guangxi Key Laboratory for Spatial Information and Geomatics，Guilin 541004
2)College of Surveying,Mapping and Geoinformation，Guilin University of Technology，Guilin 541004
3)Guangxi Scientific Experiment Center of Mining，Metallurgy and Environment，Guilin 541004
Abstract In this paper,an improved particle swarm optimization (IPSO）was proposed.In the algorithm，the influence of neighborhood optimal particle was considered，nonlinear inertia weight decreasing strategy and learning factor dynamic adjustment method was introduced.the dam prediction and inversion of multisource monitoring data was carried using the IPSO_BP model which was formed by the improved IPSO combined with BP neural network.The results show that the convergence speed of IPSO_BP model is faster，the new model can effectively improve the ability of prediction and inversion of dam multisource monitoring data.
Hu Jiyuan,Wen Hongyan,Zhou Lü et al. STUDY ON DAM PREDICTION AND INVERSION WITH MULTI-SOURCE
MONITORING DATA BASED ON IPSO-BP MODEL[J]. jgg, 2014, 34(4): 67-70.
Hu Jiyuan,Wen Hongyan,Zhou Lü et al. STUDY ON DAM PREDICTION AND INVERSION WITH MULTI-SOURCE
MONITORING DATA BASED ON IPSO-BP MODEL[J]. jgg, 2014, 34(4): 67-70.
