Research on Robustness of Color Device Characteristic Methods Based on Artificial Intelligence

摘要：

　　The nature of device color characteristic methods is the mutual conversion of device-dependent color space and device-independent color space.This paper does the comparative study on the robustness of some color space conversion methods which are based on fuzzy control,dynamic subspace divided BP neural network identification method,and fuzzy and neural identification method,by defining the robustness of color space conversion model and evaluation method.The result shows that the device color characteristic methods which are based on fuzzy and neural identification method can make the feature of BP neural network combine with fuzzy control to greatly improve the robustness of model.

关键词： Artificial intelligence Color space conversion Robustness Stability

作者: ZHI Chuan LI Zhijian SHI Yi

作者单位: Shaanxi University of Science and Technology, China Shaanxi Hwatec Science & Technology Co.Ltd, China

会议类型: 国际会议

会议名称: the 2nd China Academic Conference on Printing and Packaging (2012第二届中国印刷与包装学术会议(CACPP 2012))

会议地点: 北京

会议语种:英文

页码: 65-68

在线出版日期: 2012-10-19（万方平台首次上网日期，不代表论文的发表时间）