The purpose of this paper is to describe the use of the multiple classes random neural network model to learn various patterns having different colors. We propose a learning algorithm for the recognition of color patterns based upon the non-linear equations of the multiple classes random neural network model using gradient descent of a quadratic error function. Our model is defined for nC parameters for the whole network, where C is the number of colors, n is the number of pixels of the image, and each neuron is used to obtain the color value of each pixel in the bit map plane.
CITATION STYLE
Aguilar, J., & Rossell, V. (2000). Color pattern recognition on the random neural network model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1821, pp. 561–566). Springer Verlag. https://doi.org/10.1007/3-540-45049-1_67
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