Abstract
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.
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