Research on Dynamic Subspace Divided BP Neural Network Identification Method of Color Space Transform Model

Abstract:

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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.

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Periodical:

Edited by:

OUYANG Yun, XU Min and YANG Li

Pages:

97-100

Citation:

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

Online since:

December 2010

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$38.00

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DOI: https://doi.org/10.1109/snpd.2007.582

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