Abstract: Designing neural network architecture is an interesting and tough task,this paper reviews recent researches in this area.First we analysis four criteria while designing neural network topology:minimizing the function approximation error,complexity,generalization and fault tolerance.After that,we give a detailed discussion of three designing methods,namely constructive algorithms,destructive algorithms and evolutionary algorithms.Finally suggestions for further research are presented.