Wavelet neural network based intelligent assessment of ceramic green technology research
This is to achieve a modern green manufacturing process of ceramic production, the use of second generation wavelet theory, combined with improved neural network, it set up an improved non-tensor product wavelet neural network, and thus created a ceramic green technology research source model. This paper has a preliminary study of ceramic production enterprise for how the evaluation model to assess whether the production process of ceramic green engineering criteria for the selection of sensor data collection and research, presents preliminary data by using the second generation wavelet neural network processing solutions. Finally, some random corporate on-site simulation training is given under the conditions of test methods and environmental factors to obtain the target detection data.
SWNN Ceramic green technology Pollution factors
Ru Zhang ChangHu Chen
College of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen Jiangxi, China
国际会议
哈尔滨
英文
901-904
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）