Application of Improved BP Algorithm to the Optimized Formulation of Ceramics Glaze
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.
ceramic formulation artificial neural network BP algorithm Levenberg - Marquardt algorithms
Hongli Yang Yun Yang
School of Electrical and Information Engineering Shaanxi University of Science and Technology Xian, China
国际会议
上海
英文
402-405
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）