Abstract: This paper discusses the base principle of function network model on neural network system and proposes an back-propagation function network model base on M-P in application of Hebb learning rule. The formula of hide node and node output are derived, are the errors are estimated. The model can transform nonlinear hide node to linear of (O-1) set. Finally, an example testing system is given.