Reducing cross-sectional data using a genetic algorithm method and effects on cross-section geometry and steady-flow profiles

GSTDTAP > 地球科学

DOI	10.3133/sir20155034
报告编号	2015-5034
	Reducing cross-sectional data using a genetic algorithm method and effects on cross-section geometry and steady-flow profiles
	Berenbrock, Charles E. ceberenb@usgs.gov
	2015
出版年	2015
页数	24
语种	英语
国家	美国
出版者	U.S. Geological Survey
领域	资源环境;地球科学
英文摘要	Reduction of cross-sectional data using a genetic algorithm method, and the effects of data reduction on channel geometry and steady-flow profiles, were analyzed. Two reduction methods─standard and genetic algorithms─were used to reduce cross-sectional
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来源平台	US Geological Survey (USGS)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/9339
专题	地球科学资源环境科学
推荐引用方式 GB/T 7714	Berenbrock, Charles E. ceberenb@usgs.gov. Reducing cross-sectional data using a genetic algorithm method and effects on cross-section geometry and steady-flow profiles:U.S. Geological Survey,2015.