@inproceedings{32b78a2f9218424698d0fc47ae91ce6e,
title = "Population dynamics in Yangtze River Delta: A neural-network and spatial statistical analysis",
abstract = "Population dynamics has major impacts on regional ecosystem and socioeconomic development. Its prediction has become a key step for assessing ecosystems and socioeconomic development. Using the population data of Yangtze River Delta, a model created by Back Propagation (BP) neural network were adapted to probe and describe the dynamic evolution, and the Moran Index was used in analyzing spatial autocorrelation quantitatively. The predicted population result is quietly similar to the real situation. Population increasing represents a stable trend from 2003 to 2007 and slowed down in last two years. The population distribution pattern calculated through global Moran index barely varies, and most cities in the middle and north of the study area reveal a High-High (HH) pattern. This paper provides scientific basis for further coordinated development, comprehensive revitalization and government policy.",
keywords = "BP neural network, Global Moran Index, Population distribution pattern, Population dynamics change",
author = "Chao Wang and Runhe Shi and Wei Wei and Chaoshun Liu and Tao Qi and Wei Gao",
year = "2012",
doi = "10.1117/12.928030",
language = "英语",
isbn = "9780819492302",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability IX",
note = "Remote Sensing and Modeling of Ecosystems for Sustainability IX ; Conference date: 16-08-2012 Through 16-08-2012",
}