“…A traditional CMAC network is trained using an error back propagation algorithm, minimizing quadratic functional from error ( ) e k based on the presentation of training pairs ( ) ( ), ( ) , x k y k 1,2,... k = [2,3,9]. The LSM solution, obtained in this case, which is asymptotically optimal with a minimum variance in the class of unbiased estimates, is based on the assumption that interference x is not correlated and follows a normal distribution law.…”