摘要
阐述基于人工智能领域的机器学习,机器学习算法,包括强化学习、监督式学习中的逻辑回归算法、朴素贝叶斯算法、线性回归算法、支持向量机的应用。
This paper describes machine learning based on artificial intelligence,machine learning algorithm,including the application of logical regression algorithm,naive Bayes algorithm,linear regression algorithm and support vector machine in reinforcement learning and supervised learning.
作者
黄国盛
HUANG Guosheng(College of Automation,Guangdong University of Technology,Guangdong 510006,China)
出处
《集成电路应用》
2022年第9期192-193,共2页
Application of IC
关键词
人工智能
机器学习
逻辑回归
朴素贝叶斯算法
线性回归算法
支持向量机
artificial intelligence
machine learning
logical regression
Naive Bayesian algorithm
linear regression algorithm
support vector machine