Material Classification Based on SVM for Civil Aircraft

Abstract:

Inventory control plays a crucial role for civil aircraft in reducing production cost to improve the competitiveness. Aiming at the special requirements of aircraft manufacturing industry, we propose a solution to classify the material instead of ABC inventory control. In order to balance economy and reliability, we build a new criterion system to classify the aircraft material into nine categories. We investigate the Support Vector Machine (SVM) method to classify the material for it has been proved very powerful and effective in establishing classification model with small sample, nonlinearity, high dimension and local minima. The choice of corresponding parameters, the choice of the training set, and the choice of the SVM kernel highly affect the performance of the classification. The study was done to determine the appropriate kernel function and to optimize SVM’s parameters for the classification of civil aircraft materials. Research results prove the validity of the classification model by the software implementation.

• Periodical: Advanced Materials Research (Volumes 452-453)
• Pages: 746-749
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.452-453.746
• Online since: January 2012
• Authors: Hong Xia Cai, Wen Wei Wu
• Keywords: Civil Aircraft, Inventory Control, Material Classification, Support Vector Machine (SVM)

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