RBF(radial basis function) has the advantages of fast learning, not easily getting in the local minimum, so as to more attentions and more applications instead of BP learning algorithm.

• 径向基函数(radial basis function，简称RBF)神经网络作为人工神经网络的一种，以其牢固的插值理论为基础，并且具有学习速度快、不易陷入局部极小等优点，逐步取代反向传播(back propagation，简称BP)学习算法在模式识别领域中得到越来越广泛的关注和应用。