Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

Classification retrieval method on planter design

Authors
Jing Zang, Lidong Fu, Chenghua Li
Corresponding Author
Jing Zang
Available Online November 2016.
DOI
https://doi.org/10.2991/aest-16.2016.18How to use a DOI?
Keywords
planter; CBR; similarity; multi-hierarchical cases.
Abstract
In order to increase efficiency in digital design on single and small batch Spade Punch Planter, The structure and attribute set of all-level case was described based on case base and a improved the classification retrieval strategy on the multi-level case for finding optimal reused case were developed. A membership function algorithm was used to determine the scheme category of the new design problem, and a SM model based on extension matter-element was used for computing similarity between history case and design problem case after the multi-level matching techniques on new problem attributes inside the scheme category. Experiment with the matter-element case of soil-opener verified the accuracy, stability and good resolution in case of retrieval algorithm, which illustrates the research provide the method of the classification retrieval strategy was efficient and feasible.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-257-2
DOI
https://doi.org/10.2991/aest-16.2016.18How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jing Zang
AU  - Lidong Fu
AU  - Chenghua Li
PY  - 2016/11
DA  - 2016/11
TI  - Classification retrieval method on planter design
BT  - 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/aest-16.2016.18
DO  - https://doi.org/10.2991/aest-16.2016.18
ID  - Zang2016/11
ER  -