干旱区生态环境知识资源中心(Arid): Prediction of drought in plain area and optimization of human exercise training based on genetic algorithm

Arid

DOI	10.1007/s12517-021-07959-7
	Prediction of drought in plain area and optimization of human exercise training based on genetic algorithm
	Xu, Fei; Zhao, Bin
通讯作者	Zhao, B (corresponding author), Hebei Normal Univ, Shijiazhuang 050000, Hebei, Peoples R China.
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2021
卷号	14 期号:16
英文摘要	This article points out the multiple defect location algorithms on genetic algorithm. Normally, it means to first create a model for multiple defect locations through search systems or search software, then use genetic algorithms to search for the most suitable defect locations in the system, and then select the best fit after the relevant conditions are met. Finally, the software system and program are arranged in a certain order according to the algorithm of the related problem. Standardized Precipitation Evapotranspiration Index (SPEI) is used to evaluate drought conditions. In some areas where precipitation is rarely relatively arid, SPEI is disturbed by the eto algorithm, so its value is larger than that in non-arid areas. The situation of drought prevention and control in the plains of China is still very serious. This paper studies the flow conditions of 4 hydrological stations, chooses 6 common calculation methods to set step by step, records the water flow at different times, and analyzes the impact of water flow at different times on arid areas and related characteristics. In order to improve the physical condition, mental health, and physical activities of students on the university campus to a certain extent, each school has carried out relevant optimization training and formulated relevant policies and measures. Data processing is carried out through scientific software, and scientific sports research methods are used to conduct research to analyze and judge the assessment and evaluation conditions, so as to propose the arrangement and improvement methods of swimming training courses in sports schools.
英文关键词	Genetic algorithm Plain area Drought prediction Sports training optimization
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000691893400016
WOS关键词	PIT CRUSHER ; EQUIPMENT
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362553
作者单位	[Xu, Fei; Zhao, Bin] Hebei Normal Univ, Shijiazhuang 050000, Hebei, Peoples R China; [Xu, Fei] Harbin Sport Univ, Harbin 150001, Heilongjiang, Peoples R China
推荐引用方式 GB/T 7714	Xu, Fei,Zhao, Bin. Prediction of drought in plain area and optimization of human exercise training based on genetic algorithm[J],2021,14(16).
APA	Xu, Fei,&Zhao, Bin.(2021).Prediction of drought in plain area and optimization of human exercise training based on genetic algorithm.ARABIAN JOURNAL OF GEOSCIENCES,14(16).
MLA	Xu, Fei,et al."Prediction of drought in plain area and optimization of human exercise training based on genetic algorithm".ARABIAN JOURNAL OF GEOSCIENCES 14.16(2021).