The Computer Network Optimization Model Based on Neural Network Algorithm Research

Xun Wang; Jie Rong

doi:10.4028/www.scientific.net/AMR.798-799.545

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 798-799The Computer Network Optimization Model Based on...

The Computer Network Optimization Model Based on Neural Network Algorithm Research

Abstract:

The speed of development of the computer network is an urgent need to comprehensively improve and optimize the overall performance of the network. Neural network algorithm has a massively parallel processing and distributed information storage, Hopfield neural network showed a unique advantage in the associative memory and optimization based on the neural network algorithm for computer network optimization model of Hopfield neural network theory and reality computer network, modern optimization methods, it is combined.

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Periodical:

Advanced Materials Research (Volumes 798-799)

Pages:

545-548

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.798-799.545

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Online since:

September 2013

Authors:

Xun Wang, Jie Rong

Keywords:

Computer Network, Modern Optimization Methods, Neural Network Algorithm

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References

[1] Recognition of Corners of Planar Checkboard Calibration Pattern Image[A]; Proceedings of 2010 Chinese Control and Decision Conference[C]; (2010).

DOI: 10.1109/ccdc.2010.5498608

Google Scholar

[2] Identification of QR Codes Based on Pattern Recognition[A]; Computer and Computing Technologies in Agriculture-Ⅱ-Proceedings of the Third IFIP International Conference on Computer and Computing Technologies in Agriculture(CCTA 2009)[C]; (2009).

Google Scholar

[3] Symmetrical 2DLDA using Different Measures in Face Recognition[A]; Proceedings of 2009 Second International Workshop on Knowledge Discovery and Data Mining[C]; (2009).

DOI: 10.1109/wkdd.2009.195

Google Scholar

[4] Support Vector Machines for Multi-Class Pattern Recognition Based on Improved Voting Strategy [A]; Proceedings of 2010 Chinese Control and Decision Conference[C]; (2010).

DOI: 10.1109/ccdc.2010.5499000

Google Scholar

[5] A Recognition Method of Apples Based on Texture Features and EM Algorithm[A]; Computer and Computing Technologies in Agriculture-Ⅱ-Proceedings of the Third IFIP International Conference on Computer and Computing Technologies in Agriculture(CCTA 2009)[C]; (2009).

Google Scholar

[6] Sarawak BM, KarypisG. Application of dimensionality reduction in recommender system s: a ca se study[C] / / Proceeding s o f ACM Web KDD Workshop on Web Mining for E-Commerce. New York: ACM Press, 2010: 114-121.

Google Scholar