Acquisition of Swarm Intellegence (SI) Principle in Practice Teaching of Automation Disciplines

Hua Xia Peng; Min Xian Du; Bing Wang; Pin Wang

doi:10.4028/www.scientific.net/AMR.926-930.4443

Paper Titles

Reservoir Characteristics of Buried Hill and Oil and Gas Distribution of Hailaer Basin - Case Study of Budate Formation of Sudeerte Oilfield
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The Application of Multistage Fuzzy Comprehensive Evaluation Mathematics Method for the Analysis of Determining the Remaining Oil in Ultra-High Water-Cut Oilfield
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Application of BP Network Based on PSO Algorithm in Cementing Quality Prediction
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Research on the Influential Factors of Agricultural High-Tech Enterprises Debt Acquisition: Based on Multivariate Linear Regression Analysis
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Acquisition of Swarm Intellegence (SI) Principle in Practice Teaching of Automation Disciplines
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An Empirical Study of Internet-Based Collaborative Language Learning in China
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An Empirical Study of the Use of Learning Strategies in the Web-Assisted Autonomous Learning Environment
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An Improved Education Evaluation Model Based on SEEQ
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Analysis of Psychological Factors Affecting the Quality of Online Learning
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Acquisition of Swarm Intellegence (SI) Principle...

Acquisition of Swarm Intellegence (SI) Principle in Practice Teaching of Automation Disciplines

Abstract:

Swarm intelligence (SI) is a relatively novel field. It presents individual driven groups that can achieve the effect of cluster control. In this paper, practice teaching of Automation disciplines is taken as an engineering in which SI control principle is applied. SI principle is beneficial for education level of automation disciplines, and training qualified personnel for the community.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

4443-4446

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.4443

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Online since:

May 2014

Authors:

Hua Xia Peng, Min Xian Du, Bing Wang, Pin Wang*

Keywords:

Automation Disciplines, Practice Teaching, Swarm Intellegence (SI)

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* - Corresponding Author

References

[1] Ding Hao, DengYanxi, Du Gaoxiang. Enhancing Practical Education to Train University Students, Innovative and Practical Abilities[J]. Chinese Geological Education. 2007, 03: 116-118.

Google Scholar

[2] Zhao Jianhua, Yu Weijian, Zhang Ling. Reinforcing the management of practical teaching and improving college students' Practicality and creativity[J]. Journal of Architectural Education in Institutions of Higher Learning. 2004, 01: 106-108.

Google Scholar

[3] Dorigo M, Birattari M. SI[J]. Scholarpedia, 2007, 2(9): 1462.

Google Scholar

[4] Liu Bailong. Research on SI Theory and Its APPlicationin Multi-Robot System[D]. Harbin Engineering University, (2009).

Google Scholar

[5] Hou Lihua, Zhang Yun. Practice and teaching innovation of electrical automation specialty[J]. J. Changchun Inst. Tech. (Soc. Sci. Edi. 2006, 01: 72-74.

Google Scholar

[6] Martens D, Baesens B, Fawcett T. Editorial survey: swarm intelligence for data mining[J]. Machine Learning, 2011, 82(1): 1-42.

DOI: 10.1007/s10994-010-5216-5

Google Scholar

[7] E. Bonabeau, M. Dorigo, G. Theraulaz, Swarm Intelligence: From Natural to Artificial Systems, Oxford University Press, New York, USA, (1999).

DOI: 10.1093/oso/9780195131581.001.0001

Google Scholar

[8] Xiao-yang Z T L U. Prospect and research for swarm intelligence optimum algorithm[J]. Shanxi Architecture, 2007, 1: 007.

Google Scholar

[9] Xiao R B, Tao Z W. Research progress of swarm intelligence[J]. Journal of management sciences in China, 2007, 10(3): 80-96.

Google Scholar

[10] Colorni A, Dorigo M, Maniezzo V. Distributed optimization by ant colonies[C]/Proceedings of the first European conference on artificial life. 1991, 142: 134-142.

Google Scholar

[11] Gambardella L M, Dorigo M. Solving Symmetric and Asymmetric TSPs by Ant Colonies[C]/International conference on evolutionary computation. 1996: 622-627.

DOI: 10.1109/icec.1996.542672

Google Scholar