北京大学学报（自然科学版）2019，Vol.55Issue(1)：182-188,7.DOI:10.13209/j.0479-8023.2018.091
基于径向基函数网络模型的中国生态压力指数评价
Ecological Tension Index Assessment in China Based on RBFN Model
摘要
Abstract
This paper select related indexes of ecological tension to establish the RBFN (radial basis function network) model, which is trained and tested according to the research results of ecological tension at different time in different regions. Then, the model is used to evaluate ecological tension of China’s 31 provinces, autonomous regions and municipalities in 2008 and 2013, and the evaluation results visualization expressed with GIS. The results show that the half area is the ecological pressure security status, and Beijing has the largest ecological pressure all the time; 22 provincial administrative regions’ ecological tension are aggravated from 2008 to 2013;regionally, the ecological pressure is the largest in North China, and the smallest in the northwest.关键词
生态压力/人工神经网络/径向基函数网络/中国Key words
ecological tension/artificial neural network/RBFN/China引用本文复制引用
王雨琪,程舒鹏,陆文涛,付正辉,郭怀成..基于径向基函数网络模型的中国生态压力指数评价[J].北京大学学报（自然科学版）,2019,55(1):182-188,7.基金项目
国家水体污染控制与治理重大科技专项(2013ZX07102-06)资助 （2013ZX07102-06）
