| Document Date: 2008-02-08 10:20:50
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Company M. S. & Funt B. V. / Neural Networks / A. & Funt B. V. / Yale University Press / V. C. & Funt B. V. / Funt B. V. / Elsevier Ltd. / Hoerl A. E. / / Continent America / / Country United States / / / Event Product Issues / / Facility University Research Program / The University of Tennessee / Ferris Hall / Purdue University / / IndustryTerm analytical solution / color constancy algorithms / machine learning algorithms / color imaging conference / gray world algorithm / conjugate gradient training algorithms / batch processing / signal processing / backpropagation training algorithm / early stopping algorithms / scaled conjugate gradient algorithm / simplest color constancy algorithms / descent algorithm / scaled conjugate gradient descent algorithm / information processing systems / science systems / real time applications / regression tools / color constancy applications / learning algorithm / online retraining / / Organization School of Nuclear Engineering / Purdue University / Yale University / Optical Society / University of Tennessee / Knoxville / / Person Fort Detrick / Andrei V. Gribok / Besma Abidi / Andreas Koschan / Vivek Agarwal / / Position First author / / Product system / / ProgrammingLanguage K / ML / / ProvinceOrState Maryland / Indiana / Tennessee / / PublishedMedium Journal of the Optical Society of America A / Journal of Machine Learning Research / Proceedings of SPIE / / Technology scaled conjugate gradient descent algorithm / three algorithms / applying machine learning algorithms / simplest color constancy algorithms / GW algorithms / gradient descent algorithm / conjugate gradient training algorithms / machine learning / color constancy algorithms / Image Processing / scaled conjugate gradient algorithm / PDF / learning algorithm / early stopping algorithms / algorithm Algorithm / neural network / GW algorithm / backpropagation training algorithm / trained using the scaled conjugate gradient descent algorithm / / URL www.elsevier.com/locate/neunet / http /
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doi:[removed]j.neunet[removed]