神经网络非线性组合预测方法及其应用

Hu Ping
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摘要

本文采用人工神经网络,并引入组合预测理论,建立了基于人工神经网络的水文时间序列非线性组合预测模型。通过实例计算,并利用相关评价指标对预测结果进行分析,结果表明,基于人工神经网络的非线性组合预测方法比原有的个体预测方法取得了更好的预测效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural Network Non-linear Combination Forecasting Method and Its Application
This paper adopted the artificial neural network, and also introduced the combination forecasting theory, established non-linear combination forecasting model based on artificial neural networks for hydrological time series forecasting. Though practical case calculating, and using the relevant evaluation index to analysis predict results, the results showed that non-linear combination forecasting method based on artificial neural network achieved better results than the original individual forecasting method.
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