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The Prediction Model of Shandong Service Industry based on Improved ELM-RBF Learning Algorithm

机译:基于改进ELM-RBF学习算法的山东服务业预测模型

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摘要

The accurate prediction of production value of Shandong service industry is very important, which is the basis of planning and decision making of Shandong service industry. Based on the indices of Shandong service industry and the improved ELM-RBF neural networks learning algorithm, the prediction model of Shandong service industry is proposed in this paper. The simulation result shows that the presented prediction model has the characteristics of fast learning convergence and accurate prediction performance. The prediction has a high application value for the prediction of Shandong service industry.
机译:准确预测山东服务业产值非常重要,这是山东服务业规划与决策的基础。基于山东服务业的指标和改进的ELM-RBF神经网络学习算法,提出了山东服务业的预测模型。仿真结果表明,所提出的预测模型具有学习收敛快,预测性能准确的特点。该预测对山东服务业的预测具有较高的应用价值。

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