Global S&T Development Trend Analysis Platform of Resources and Environment
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 |
URL | 查看原文 |
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. |
条目包含的文件 | 条目无相关文件。 |
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