The neural-semantic network: a new structure to representing conceptual knowledge and to support dynamically learning

被引：0

作者：

Qin Zhong-bao ^{[1
]}

Wang You-jun ^{[1
]}

Zhao Feng ^{[1
]}

He Wei-ping ^{[1
]}

机构：

[1] Xian Inst High Technol, Xian 710025, Peoples R China

来源：

ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS | 2007年

关键词：

spreading action model; neural-semantic cell; neural-semantic network; semantic association;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper suggested a structure Of neural-semantic cell, which combined the explicitness of semantic network with the dynamic of artificial neural network together Moreover, based on the neural-semantic cell, a neutral-semantic network was constructed. the network cannot only represent explicitly the semantic information of the concepts, but also image dynamically the relationship between. concepts. By its leaning mechanism, the neural-semantic network can; enrich its conceptual knowledge and the semantic information of cells.

引用

页码：2684 / 2687

页数：4

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