摘要
阐述机器学习模型的选取、训练及优化算法的设计(确定不同指标对应的权重值),并通过实际数据验证技术应用的有效性。结果显示,机器学习技术的引入能显著提高发电效率并减少环境排放量。
This paper describes on the selection,training,and optimization algorithm design of machine learning models(determining the weight values corresponding to different indicators),and verifies the effectiveness of the technology application through actual data.The results show that the introduction of machine learning technology can significantly improve power generation efficiency and reduce environmental emissions.
作者
王莹
WANG Ying(Guoneng Chenjiagang Power Generation Co.,Ltd.,Jiangsu 224631,China)
出处
《集成电路应用》
2024年第7期128-129,共2页
Application of IC
关键词
智能算法优化
机器学习
综合效率
intelligent algorithm optimization
machine learning
comprehensive efficiency