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根据灰色关系分析,支持向量回归和遗传算法预测煤灰流温度

Kaidi Sun1, Zhen Liu1, Haiquan An1

  • 1National Institute of Clean-and-low-carbon Energy (NICE), Beijing 102211, China.

ACS omega
|August 12, 2024
PubMed
概括

机器学习准确地预测了煤灰流量温度,这是引流流床气化中的关键因素. 与现有软件相比,这种新方法提供了更高的准确性和效率.

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