Research on Dynamic Subspace Divided BP Neural Network Identification Method of Color Space Transform Model
In order to improve the precision for BP neural network model color space conversion, this paper takes RGB color space and CIE L*a*b* color space as an example. Based on the input value, the color space is dynamically divided into many subspaces. To adopt the BP neural network in the subspace can effectively avoiding the local optimum of BP neural network in the whole color space and greatly improving the color space conversion precision.
OUYANG Yun, XU Min and YANG Li
C. Zhi et al., "Research on Dynamic Subspace Divided BP Neural Network Identification Method of Color Space Transform Model", Advanced Materials Research, Vol. 174, pp. 97-100, 2011