Nearest Neighbor Algorithm for Information Engineering Surveillance Based on Intelligent Materials

Hong Zhi Liu; Zhen Hua Wang

doi:10.4028/www.scientific.net/AMM.63-64.264

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 63-64Nearest Neighbor Algorithm for Information...

Nearest Neighbor Algorithm for Information Engineering Surveillance Based on Intelligent Materials

Abstract:

To improve efficiency of information engineering surveillance, expert system was introduced. First, describes the theory of expert system and the necessity of expert system for information engineering surveillance; Second, designed the system architecture, analysis how to store the cases of the system and describes a case retrieval algorithm, introduce information entropy, compute information gain; Finally, make an better Nearest neighbor algorithm method, the improved algorithm has overcome the traditional K-NN method’s inadequate.

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Periodical:

Applied Mechanics and Materials (Volumes 63-64)

Pages:

264-267

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.63-64.264

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Online since:

June 2011

Authors:

Hong Zhi Liu, Zhen Hua Wang

Keywords:

Case-Based Reasoning (CBR), Expert System, Information Engineering Surveillance

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References

[1] Liu Hongzhi, Ge NaiKang Information Engineering Supervision[M] Beijing: China Electric Power Press, 2009 (in Chinese)

Google Scholar

[2] Liu Hongzhi,Yang Rongyan.Research on Surveillance and Evaluation in Acceptance Stage of E-government Project[J].2010 second International workshop on Education Technology and Computer Science,2010.3,Vol III,411-414.

DOI: 10.1109/etcs.2010.57

Google Scholar

[3] Liu Hongzhi, YangJianjun. Based on Grey System Theory Software Project Management[J] Economics and Management, 2007,10 (in Chinese)

Google Scholar

[4] David W. Patterson, Niall Rooney Efficient Similarity Determination and Case Construction Techniques for Case-Based Reasoning [M]. ECCBR 2001:291-305.

Google Scholar

[5] BIN ZHANG,SRIHARI SN. Fast k-Nearest Neighbor Classification Using Cluster-based Trees [J].IEEE Transactions on Pattern Analysis and Machine Intelligence. 2004, 26(4).525-528.

DOI: 10.1109/tpami.2004.1265868

Google Scholar