NDLI: Product quality modeling and optimizing control of soft capsule dropping pills based on LSSVM and PSO

Content Provider	IEEE Xplore Digital Library
Author	Yanqing Peng Jian Luo Wenzhang Zhu
Copyright Year	2009
Description	Author affiliation: Department of Automation, Xiamen University, Xiamen 361005, China (Jian Luo) \|\| Xiamen University of Technology, Xiamen 361024, China (Yanqing Peng; Wenzhang Zhu)
Abstract	Soft capsule dropping pills product quality control system is a multi-input and multi-output complex system. First of all, the process parameters and a two-level hierarchy index system of soft capsule pills product quality were proposed based on the analysis to the production process. Then the model was established based on least squares support vector machine (LSSVM), whose inputs are the process parameters and outputs are the secondary quality indexes. Analysis hierarchy process (AHP) was used to determine the weights of the secondary quality indexes. On this basis, particle swarm optimization (PSO) algorithm was used to optimize the process parameters in order to improve the yield of soft capsule pills, which is a multi-objective optimization problem. The nominal values of the process parameters corresponding to the highest yield can be obtained. The yield increases by 2.7% when the optimizing parameters are used to the soft capsule dropping pills process.
Starting Page	1223
Ending Page	1228
File Size	263766
Page Count	6
File Format	PDF
ISBN	9781424447060
DOI	10.1109/ICCA.2009.5410280
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-09
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality control Industrial control Pharmaceuticals Electrical equipment industry Automatic control Furnaces Optimized production technology Optimization methods Manufacturing processes Genetic algorithms
Content Type	Text
Resource Type	Article

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