FONNF Model and its Application to Medium and Long-term Runoff Forecast

机译：FONNF模型及其在中长期径流预报中的应用

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Medium and long-term runoff forecast is the key issue, since its significance to water resources although it is complex and difficult to study. Based on the fuzzy neural networks model, fuzzy optimization neural network forecast (FONNF) model is developed, integrated the correlation analysis between forecast factors and object. The FONNF model is applied to annual runoff forecast of Huanren reservoir, Liaoning province. The results show that the FONNF model can solve the intricate correlation problem better of medium and long-term runoff forecast, compared with the nearest neighbor bootstrapping regressive model. Analyses on annual runoff forecast are also present.

机译：中长期径流预报是关键问题，因为它对水资源的重要性尽管复杂且难以研究。在模糊神经网络模型的基础上，建立了模糊优化神经网络预测模型（FONNF），并结合了预测因子与目标之间的相关性分析。 FONNF模型用于辽宁省ren仁水库年径流量预报。结果表明，与最近邻自举回归模型相比，FONNF模型可以更好地解决中长期径流预报的复杂相关问题。还对年度径流预报进行了分析。

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来源
《Flood Forecasting and Water Resources Assessment for IAHS(International Association of Hydrological Sciences)-PUB》|2006年|205-212|共8页
会议地点 Beijing(CN)
作者
Liu Yanli; Zhou Huicheng;
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作者单位

School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116024;

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会议组织
原文格式 PDF
正文语种 eng
中图分类水资源调2查与水利规划;
关键词
fuzzy optimization; neural network; relative optimization membership; runoff fore-cast; nearest neighbor bootstrapping regressive model;

机译：模糊优化；神经网络;相对优化成员资格；径流预报；最近邻自举回归模型;

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FONNF Model and its Application to Medium and Long-term Runoff Forecast

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