基于深度极限学习机的NOx预测方法

2018 3rd International Conference on Computational Intelligence and Applications (ICCIA) Pub Date : 2018-07-01 DOI:10.1109/ICCIA.2018.00025

Ying Li, Fanjun Li

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引用次数: 0

摘要

NOx实时预测对于控制燃煤电厂NOx排放具有重要意义。提出了一种基于深度极限学习机的NOx预测方法。首先，提出了一种改进的深度极限学习机。在此基础上，设计了NOx预测模型。最后，用实际数据对模型进行了评价。仿真结果表明，该方法是有效的。

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NOx Prediction Method Based on Deep Extreme Learning Machine

Real-time prediction of NOx is important for the control of NOx emission from a coal-fired power plant. This paper presents a NOx prediction method based on deep extreme learning machine. First, an improved deep extreme learning machine is proposed. Then, a NOx prediction model is designed based on the proposed method. Finally, the model is evaluated by using the actual data. Simulations results show that the proposed method is effective.

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2018 3rd International Conference on Computational Intelligence and Applications (ICCIA)

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