摘要
提出一种新的机器学习模型——广义学习模型．广义学习模型以大脑自适应原理为理论基础，以广义学习子为基本元素．若干个广义学习子按照一定的规则可以构成具有特定功能的学习网络．各种感觉分析网络、综合网络和记忆网络就形成了广义学习系统的一般结构．广义学习系统具有高度并行、有机融合。
A new kind of machine learning model called generalized learning model is presented. Its theoretic foundation is the brain adaptive principle and its basic element is generalized learning unit. Several generalized learning units may constitute a learning network. All kinds of sense analysis networks as well as integration and memory ones form generalized learning system. The generalized learning system possesses many characterisitcs such as high paiallel, effective fusion and optimized evolution.
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
1999年第4期346-349,共4页
Journal of China University of Mining & Technology
基金
武汉大学软件工程国家重点实验室基金
关键词
机器学习
广义学习模型
人工智能
记忆网络
machine learning, generalized learning model, artificial intelligence
