期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
机器学习的知识结构
1
作者 刘益 唐远翔 《福建电脑》 2010年第3期76-76,73,共2页
机器学习是模拟人类学习活动过程来完成进行学习。本文通过分析机器学习系统在学习过程对知识的使用特点,提出将机器学习系统中知识库里的知识分为样本特征知识,操作性知识和推理性知识三个方面;并根据它们在学习过程中的作用,讨论了这... 机器学习是模拟人类学习活动过程来完成进行学习。本文通过分析机器学习系统在学习过程对知识的使用特点,提出将机器学习系统中知识库里的知识分为样本特征知识,操作性知识和推理性知识三个方面;并根据它们在学习过程中的作用,讨论了这三方面知识之间的关系。 展开更多
关键词 机器学习 样本特征知识 操作性知识 推理性知识
下载PDF
A New Method of Semantic Network Knowledge Representation Based on Extended Petri Net 被引量:1
2
作者 Ru Qi Zhou 《Computer Technology and Application》 2013年第5期245-253,共9页
Abstract: It was discussed that the way to reflect the internal relations between judgment and identification, the two most fundamental ways of thinking or cognition operations, during the course of the semantic netw... Abstract: It was discussed that the way to reflect the internal relations between judgment and identification, the two most fundamental ways of thinking or cognition operations, during the course of the semantic network knowledge representation processing. A new extended Petri net is defined based on qualitative mapping, which strengths the expressive ability of the feature of thinking and the mode of action of brain. A model of semantic network knowledge representation based on new Petri net is given. Semantic network knowledge has a more efficient representation and reasoning mechanism. This model not only can reflect the characteristics of associative memory in semantic network knowledge representation, but also can use Petri net to express the criterion changes and its change law of recognition judgment, especially the cognitive operation of thinking based on extraction and integration of sensory characteristics to well express the thinking transition course from quantitative change to qualitative change of human cognition. 展开更多
关键词 Semantic network Petri net knowledge representation qualitative mapping.
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部