In this paper, a novel artificial neuron model-procedure neuron model is proposed, in which the inputs are functions or procedures associated with ‘ time´. Based on these neurons, a model named procedure neural network, which is also a feedforward network with only one hidden layer, is constructed. The authors call this neural network as Procedure Neural Network (PNN) expanded on certain base functions. The related continuity, function approximation ability and computational capability theorems are proved.