Abstract: The RBFN (Radial Basis Function Network) is analyzed and the FCBRBFN(Fuzzy Clustering Based Radial Basis Function Network) which is more suitable for radar target recognition is proposed in this paper. This FCBRBFN utilizes fuzzy clustering method to determine the structure of the net. It estimates the shape parameter of Guassian kernel function with the values of membership function which gets from the clustering results. It is shown from the theoretical analysis that the FCBRBFN has better generalization ability. The Doppler echoes of the targets gotten from a current surveillance radar are used in the experiment. The experimental results show that the classification rate of the FCBRBFN is higher than that of the RBFN. The network proposed in this paper is promising in the application of radar target recognition.