Abstract: Using the Chebyshev expansion block instead of  the hidden layer structure, we proposed a method of Chebyshev neural network model based on function approximation to solve nonlinear Fredholm integral equations, and gave its best  approximation solution and the convergence analysis of the algorithm. The feasibility and effectiveness of the algorithm were verified by numerical examples.

Key words: Chebyshev polynomial, neural network, Fredholm integral equation