Nonlinear mapping performance analysis of the polynomial perceptron

The nonlinear mapping ability of the polynomial perceptron (PP) is analysed, which shows that any continuous functions can be approximated to any given accuracy by the polynomial perceptron with small degree L(L>or=2) and the nonlinear mapping ability of the PP is approximately the same as that of the multilayer perceptron (MLP). Numerical results are given.