Research on Robustness of Color Device Characteristic Methods Based on Artificial Intelligence
2012 ◽
Vol 262
◽
pp. 65-68
Keyword(s):
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.
2010 ◽
Vol 174
◽
pp. 97-100
◽
2014 ◽
Vol 1044-1045
◽
pp. 688-691
2012 ◽
Vol 170-173
◽
pp. 3436-3439
Safety Assessment of Transmission Grid Based on Fuzzy Comprehensive Evaluation and BP Neural Network
2010 ◽
Vol 439-440
◽
pp. 528-533
Keyword(s):