Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Qi Lun Zheng"'
Autor:
Qi-Lun Zheng, Jin-Song Hu
Publikováno v:
Chinese Journal of Computers. 35:193-201
Publikováno v:
IEEE Intelligent Systems. 21:78-85
In this paper, we've developed a novel approach to knowledge acquisition based on rough set theory and principal component analysis. A PCA-based quantitative index measures the relative importance of different condition attributes among the state spa
Publikováno v:
Cybernetics and Systems. 31:787-802
Autor:
Qi-lun Zheng, Shuqiang Huang
Publikováno v:
2009 International Conference on Networks Security, Wireless Communications and Trusted Computing.
With the ability of simultaneous transmissions, multi-channel multi-interface wireless mesh networks have emerged with great potential in the improvement of network throughput and performance. Interference has the strongest effect on the available ba
Autor:
Shu-qiang Huang, Qi-lun Zheng
Publikováno v:
2009 2nd IEEE International Conference on Computer Science and Information Technology.
As a new type of wireless network architecture, because of its self-organization, and support multi-hop and heterogeneous networks, Wireless Mesh networks has played an important role in building “wireless cities” and become an research spot in a
Publikováno v:
2008 International Conference on Machine Learning and Cybernetics.
Concept is the basic of knowledge. A concept consists of a connotation and an extension. The paper comes up with a concept of concept-in-corpus which is a special kind of formal concept, and presents a discovering algorithm called FCWFT (filtering co
Publikováno v:
2008 International Conference on Machine Learning and Cybernetics.
Document correlation analysis is now a focus of study in text mining. This paper proposed a Document Correlation Model to capture the correlation between documents from topic level. The model represents the document correlation as the Optimal Matchin
Publikováno v:
2007 International Conference on Machine Learning and Cybernetics.
The prediction of future values of a time series generated by a chaotic dynamical system is a challenging task. Recently, the use of recurrent neural networks (RNN) models appears. An evolving neural network (ERNN) is proposed for the prediction of c
Publikováno v:
2006 International Conference on Machine Learning and Cybernetics.
Hits algorithm has gotten great success and been applied in the analysis of web linking. Hits algorithm is used to search the authority pages and the hub pages from the results of the search engine, and it can also be used to search the web communiti
Publikováno v:
2006 International Conference on Machine Learning and Cybernetics.
Resource allocation is the key technology in computational Grid. How to effectively allocate and schedule the Grid resources is a challenge for a Grid computing system. To the Grid service providers, two issues should be addressed to maximize their p