摘要
计算机出现以后,人们就想知道它能否学习。机器学习的主要任务就是发明计算机算法,将数据转化为智能行为。机器学习算法可分为两大类:有监督算法和无监督算法。有监督学习算法用来建立预测模型,无监督学习算法用来建立描述模型。有监督的学习算法可以用来分类和数值预测。针对可以进行数值预测的几种算法,比如回归分析、决策树、神经网络、支持向量机等算法做了简单介绍,然后分析了几种算法的在数值预测问题上应用。
After the computer appeared, people wanted to know if it could learn. The main task of machine learn- ing is to invent the computer algorithm, make the data into intelligent behavior. Machine learning algorithms can be divided into two categories： supervised algorithm and unsupervised algorithm. The supervised learning algo- rithm is used to establish the prediction model, and the unsupervised learning algorithm is used to establish the description model, and the supervised learning algorithm can be used for classification and numerical prediction. This paper briefly introduces several algorithms that can be used for numerical prediction, such as regression analysis, decision tree, neural network, support vector machine and so on, and then introduce several algorithms on numerical prediction.
出处
《安阳工学院学报》
2017年第4期71-74,共4页
Journal of Anyang Institute of Technology
关键词
机器学习
回归分析
决策树
神经网络
支持向量机
machine learning
regression analysis
decision tree
neural network
support vector machine
