摘要
机器学习是人工智能研究的一个重点,并已出现了多种学习方法,如:机械学习、归纳学习、演绎学习、类比学习、基于解释学习、遗传算法和联接学习等.
This paper reviews some of the research on machine learning that combines the symbolic and connectionist learning. In conclusion the paper demonstrates that combining symbolism and connectionism methods is a promising approach to machine learning,and points out open problems.
出处
《计算机科学》
CSCD
北大核心
1996年第3期6-9,共4页
Computer Science
关键词
机器学习系统
人工智能
联接机制
符合机制
Machine learning,Symbolic,Connectionist,Artificial intelligence,Hybrid algorithms
