- FOE, Melbourne. A Citizen ’s Guide to Climate Refugees [C]. Friends of the Earth, Australia, 2005: 226-241Google Scholar
- Julia Haskins. Migrant, Refugee Youths Face Dangers on Mediterranean Migration RoutesGoogle Scholar
- Liu Yingwen, Yang Shilun, Luo Xiangxin. Separation and Estimation of the Impact of Sea Level Rising and the Impact of Coastal Flooding and Silting on Wetland Area in Intertidal Zones [2].Shanghai Land and Resources, 2011, 32 (03): 23-26 + 45 + 52Google Scholar
- Marta de la Torre.Assessing the Values of Cultural Heritage[C]. Sylvia Tidwell.Los Angeles:The Getty Conservation Institute,2002:1-125Google Scholar
- Mu Dapeng, Yan Haoming. Instantaneous rate of global average sea level rise [J]. Chinese Journal of Geophysics, 2018, 61 (12): 4758-4766Google Scholar
- Pasikowska-Schnass Magdalena.Cultural heritage in EU policies[J].European Parliamentary Research Service,2018:1-11Google Scholar
- Shi Xueyi, Liu Zheng. The Dilemma and Countermeasures of the International Law Protection of Climate Migration [J]. Journal of Nankai University (Philosophy and Social Sciences Edition), 2016 (06): 68-77Google Scholar
- Wang Li, Wang Fangxiong, Chen Chen. Visual analysis of geographic cell automata research based on CiteSpace [J]. Geospatial Information, 2019, 17 (11): 49-51 + 11.Google Scholar
- Yu Qingnian, Shi Guoqing. Environment, climate change and population migration [J]. China Population, Resources and Environment, 2010, 20 (07): 42-47.Google Scholar
Recommendations
BP Neural Network-Based Research of University Science Research Capability Evaluation
ETCS '09: Proceedings of the 2009 First International Workshop on Education Technology and Computer Science - Volume 01Based on the substance of University Science Research Capability (USRC) and the highly self-organized, self-adapted and self-learned characteristics of Back Propagation (BP) Neural Network, the paper conducts a research on evaluation of USRC, in which ...
Research of Population Prediction Based on GA-BP Neural Network
CSSS '12: Proceedings of the 2012 International Conference on Computer Science and Service SystemThe BP neural network is a feed-forward network trained by backward propagation of errors algorithm, which is the most widely used neural network model, but BP neural network can't avoid the shortcoming that is strong randomness and easily converging to ...
The Research of Alphabet Identification Based on Genetic BP Neural Network
IHMSC '12: Proceedings of the 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 01The Back Propagation (BP) neural network genetic algorithm was used to identify alphabet, and the new algorithm combine the advantages of both genetic algorithm and the BP neural network. Genetic learning algorithm was used for the global optimization ...
Comments