机器学习研究

机器学习研究 MACHINE LEARNING 曹加恒 first-author 汤怡群 姚唐 本文首先扼要回顾了机器学习的发展历史,接着提出了机器学习应从生物系统的学习机制、各种有效的知识学习算法及结合肢体运动控制的技术精化学习三方面进行深化研究的看法,并为学习中常用的归纳推广和类比建立了两个实现框架。文章最后简介了笔者正在研制的学习系统。 This paper gives a brief review about the history of Machine Learning and presents that in order that Machine Learning goes deep into development,it is necessary to research from three aspects: learning mechanisms of organisms, various effective learning algorithms and refining skill integrated motion control of limbs and trunk. Two realizable frame have been built for induction, generalization and analogy which are often used in learning. At last a learning system is introduced which is developing by authors. 机器学习 归纳 推广 类比 连接机制 适应网络 : Machine Learning Induction Generalization Analogy Connectionism Adaptive Network. 1988-01-01 2021-04-01 1