Bioproductivity of Dnieper Reservoirs Analysis by Inductive Methods

H. Pidnebesna
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引用次数: 3

Abstract

The task was to determine the factors that have the most significant influence on the state of water in the Dnieper reservoirs by constructing a model of dependence of the concentration of chlorophyll a in phytoplankton according to long-term observations in Kremenchug and Kakhovka reservoirs. The results of observations of the Institute of Sciences in 1976 – 1993. Various inductive methods were used to obtain a satisfactory result. Algorithms: linear regression of (LR), LASSO, combinatorial algorithm of (COMBI) GMDH and correlation-rating algorithm (CRA).
第聂伯河油藏生物产能的归纳法分析
任务是根据Kremenchug和Kakhovka水库的长期观测结果,通过构建浮游植物叶绿素a浓度的依赖性模型,确定对第聂伯河水库的水质影响最大的因素。科学研究所1976年至1993年的观测结果。采用了多种归纳方法,取得了满意的结果。算法:(LR)线性回归、LASSO、(COMBI)GMDH组合算法和相关评级算法(CRA)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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16
审稿时长
24 weeks
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