RBF算法及其在多河段水质模拟中的应用

2009 International Conference on Computational Intelligence and Natural Computing Pub Date : 2009-06-06 DOI:10.1109/CINC.2009.139

Chang-jun Zhu, Xiujuan Zhao

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引用次数: 2

摘要

基于神经网络理论和方法，在分析多河段水质模型的基础上，提出了一种RBF水质模型模型，并利用邯郸市阜阳河水质数据对该模型进行了训练和检验。结果表明，该模型比传统模型精度更高，可用于水质模拟。

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RBF Algorithm and its Application in Multi-Reach Water Quality Simulation

Based on the theory and method of neural network, and analysis of multi-reach water quality model, a model of RBF water quality model was presented, the model was trained and examined with the data of water quality of Fuyang river in Handan city. The results indicate that the model is more accurate than traditional model and is feasible for water quality simulation.

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2009 International Conference on Computational Intelligence and Natural Computing

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