Aided Design of Precision Seeder Based on Case Based Reasoning

Abstract:

In connection with the low efficiency of traditional design method, case-based reasoning of artificial intelligence was applied in design of precision seeder.Combining with case representing based on characteristic method, determination method for resemblance level of machinery parts characteristics during case retrieval procedure was analyzed. Case-database was organized by MOP. The modified grey relational analysis was employed to calculate the seeder case similarity. A new case retrieval algorithm based on dynamic configuration was proposed. The weight for characteristic properties of the machinery parts was determined through standard deviation method and entropy weight method.Finally,the proposed model was demonstrated by an application instance of 2BQ-2 precision seeder. The results objectively revealed aided design method based on artificial intelligence can improve the design efficiency and shorten the design cycle effectively.

• Periodical: Advanced Materials Research (Volumes 542-543)
• Pages: 128-131
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.542-543.128
• Online since: June 2012
• Authors: Yu Yang
• Keywords: 2BQ-2 Precision Seeder, Artificial Intelligence (AI), Case Retrieval, Entropy Weight Method

References

[1] S. Chakraborti, R. Lothian, N.Wiratunga, et al: Advances in Case Based Reasoning Vol.4106(2006),p.400

[2] Xiaoli Zhang, Dongming Hu, Baogui Wu: Dalian University of Technology Vol.50(2010),p.917

[3] Lanfen Lin, Peng Gao, Ming Cai, Jinxiang Dong: Journal of Computer-Aided Design＆Computer Graphic Vol.17(2005),p.2093, In Chinese

[4] R.Bergmann, J.Kolodner, E.Plaza:Knowledge Engineering Review Vol.20(2005),p.209

[5] Hongyu Wang, Jun Yan, Zhiwei Ni, Dan Han:Computer Technology and Development Vol.96(2010),p.96,In Chinese

[6] Jinshan Liu, Wenhe Liao, Sumin Zhang, Yu Guo:Journal of Computer-Aided Design ＆ Computer Graphic Vol.19(2007),p.1303,In Chinese