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Application of linear genetic programming in conjunction with Kohonen's self-organizing map and ensemble empirical mode decomposition for improved streamflow prediction at lock and dam 10 along the Kentucky River approved

机译：将线性遗传规划与Kohonen的自组织图和整体经验模式分解相结合的应用，以改进沿肯塔基河的闸门和大坝10的水流预测

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作者
Barge, Jonathan T.;
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作者单位

The University of Texas at San Antonio;

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授予单位 The University of Texas at San Antonio;
学科
学位 M.S.
年度 2015
页码 102 p.
总页数 102
原文格式 PDF
正文语种 eng
中图分类
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1. An Ensemble Empirical Mode Decomposition, Self-Organizing Map, and Linear Genetic Programming Approach for Forecasting River Streamflow [J] . Jonathan T. Barge, Hatim O. Sharif Water . 2016,第6期

机译：整体经验模式分解，自组织图和线性遗传规划方法预测河流流量
2. Application of Hilbert-Huang Transform With Improved Ensemble Empirical Mode Decomposition in Nonlinear Flight Dynamic Mode Characteristics Estimation [J] . Mokhtari S. Abolfazl, Sabzehparvar Mehdi Journal of Computational and Nonlinear Dynamics . 2019,第1期

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5. An Ensemble Empirical Mode Decomposition, Self-Organizing Map, and Linear Genetic Programming Approach for Forecasting River Streamflow [O] . Jonathan T. Barge, Hatim O. Sharif 2016

机译：集合经验模式分解，自组织映射和线性遗传规划在河流径流预测中的应用

Application of linear genetic programming in conjunction with Kohonen's self-organizing map and ensemble empirical mode decomposition for improved streamflow prediction at lock and dam 10 along the Kentucky River approved

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