CHEBYSHEV POLYNOMIAL APPROXIMATION FOR ACTIVATION SIGMOID FUNCTION

An alternative polynomial approximation for the activation sigmoid function is developed here. It can considerably simplify the input/output opera- tions of a neural network. The recursive algorithm is found for Chebyshev expan- sion of all constituting polynomials.