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A New Color Blindness Cure Model Based on BP Neural Network

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

Abstract

There is no method of color blindness cure so far although some research on color blindness has been done. In this paper we propose the BP neural network model for Color Blindness Cure (CBC) according to the biological experimental results. This model transforms abnormal output signals of two paths corresponding to two kinds of cones of the dichromats into normal ones of three paths corresponding to three kinds of cones of normal people. Computer simulation results show that this model has good performance and changes the abnormal vision of the dichromats into normal ones. In addition, some improvements of our model are introduced.

This work is supported by National Basic Research Program of China (2005CB742303).

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© 2006 Springer-Verlag Berlin Heidelberg

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Ma, Y., Gu, XD., Wang, YY. (2006). A New Color Blindness Cure Model Based on BP Neural Network. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_109

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  • DOI: https://doi.org/10.1007/11760191_109

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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