Traffic flow forecasting algorithm research based on chaos theory

被引：0
|
作者：
Chen, Yong-Hong [1 ]
Juan, Deng [2 ]
机构：
[1] Chongqing Normal Univ, Dept Comp & Math, Chongqing 400047, Peoples R China
[2] Chongqing Univ, Coll Econ & Business Adm, Chongqing 400044, Peoples R China
来源：
WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING, VOL 1 AND 2 | 2006年
关键词：
chaos; add-weight local prediction; traffic flow; blending algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The semantic web shall enable web agents an efficient, precise, and comprehensive extraction of knowledge. Nevertheless, this new web is not likely to be adopted in the immediate future. In this paper, we describe an approach to extracted knowledge from today's non-semantic web. Our proposal is that it associates semantics web with Nature Language Parsing. This paper discusses the ontology of HowNet and the different parsing information method between NLP and semantic web. After that, the paper describes a conceptual scheme of parsing information to extract semantically-meaningful information from today's non-semantic web.
引用
收藏
页码：169 / +
页数：3
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