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Application of improved BP algorithm to the optimized formulation of ceramics glaze

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2 Author(s)
Hongli Yang ; School of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi'an, China ; Yun Yang

This paper takes a kind of ceramic glaze as an example, and builds an improved BP neural network model for optimizing the formulation on ceramic glaze. The improved BP neural network adopts Levenberg-Marquardt algorithms. The paper reviews how to build the ceramic formulation optimization model based on BP artificial neural network, including the establishment of neural network, the training, and the inspection of results. Meanwhile, the software Matlab7 has a neural network toolbox. The BP network model of ceramic formulation optimization is simulated by Matlab7. The model has achieved the good effect in the prediction precision and the algorithm convergence speed respects. So, application of improved BP algorithm has an important significance on ceramic formulation optimization research.

Published in:

Computer Research and Development (ICCRD), 2011 3rd International Conference on  (Volume:1 )

Date of Conference:

11-13 March 2011