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TIME SERIES NEURAL NETWORK FORECASTING METHODS

机译:时间序列神经网络预测方法

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摘要

This paper has discussed the possibility and key problem to construct the neural network time series model, and three time series neural network forecasting methods has been proposed, i. e. a neural network nonlinear time series model, a neural network multi-dimension time series model and a neural network combining predictive model. These three methods are applied to real problems. The results show that these methods are better than the traditional one. Furthermore, the neural network methods are compared with the traditional method, and the constructed model of intellectual information forecasting system is given.
机译:本文讨论了构建神经网络时间序列模型的可能性和关键问题,并提出了三个时间序列神经网络预测方法,i。 e。神经网络非线性时间序列模型,神经网络多维时间序列模型与神经网络组合预测模型。这三种方法适用于真正的问题。结果表明,这些方法优于传统的方法。此外,将神经网络方法与传统方法进行比较,给出了智力信息预测系统的构建模型。

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