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DOI10.32604/cmc.2019.03782
The Application of BP Neural Networks to Analysis the National Vulnerability
Zhao, Guodong; Zhang, Yuewei; Shi, Yiqi; Lan, Haiyan; Yang, Qing
发表日期2019
ISSN1546-2218
EISSN1546-2226
卷号58期号:2页码:421-436
英文摘要Climate change is the main factor affecting the country's vulnerability, meanwhile, it is also a complicated and nonlinear dynamic system. In order to solve this complex problem, this paper first uses the analytic hierarchy process (AHP) and natural b
关键词Climate changeBP neural networksnational vulnerabilityGA-BP
学科领域Engineering, Multidisciplinary;Materials Science, Multidisciplinary;Mathematics, Interdisciplinary Applications
语种英语
WOS记录号WOS:000457490600009
来源期刊CMC-COMPUTERS MATERIALS & CONTINUA
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/82476
作者单位Harbin Engn Univ, 145 Nantong Ave, Harbin 150001, Heilongjiang, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Guodong,Zhang, Yuewei,Shi, Yiqi,et al. The Application of BP Neural Networks to Analysis the National Vulnerability[J],2019,58(2):421-436.
APA Zhao, Guodong,Zhang, Yuewei,Shi, Yiqi,Lan, Haiyan,&Yang, Qing.(2019).The Application of BP Neural Networks to Analysis the National Vulnerability.CMC-COMPUTERS MATERIALS & CONTINUA,58(2),421-436.
MLA Zhao, Guodong,et al."The Application of BP Neural Networks to Analysis the National Vulnerability".CMC-COMPUTERS MATERIALS & CONTINUA 58.2(2019):421-436.
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