摘要
阐述基于人工智能和机器学习技术的热工系统优化与控制方法。介绍人工智能和机器学习的基础理论,包括神经网络、支持向量机、遗传算法。探讨这些算法在热工系统优化与控制中的应用。
This paper expounds the optimization and control methods of thermal systems based on artificial intelligence and machine learning technologies.It introduces the fundamental theories of artificial intelligence and machine learning,including neural networks,support vector machines,and genetic algorithms.It explores the application of these algorithms in thermal system optimization and control.
作者
任金辉
REN Jinhui(Inner Mongolia Guohua Zhungeer Power Generation Co.,Ltd.,Inner Mongolia 010300,China)
出处
《电子技术(上海)》
2024年第6期376-377,共2页
Electronic Technology
关键词
机器学习
热工系统
神经网络
遗传算法
machine learning
thermal systems
neural networks
genetic algorithms