Though they are similar in structure, the EBF network differs from the well-known radial basis function (RBF) network by incorporating full covariance matrices and uses the expectation-maximization (EM) algorithm to estimate the basis functions.

• 在保留 RBF三层网络结构基础上 ,EBF采用了 EM算法来估计特征空间的混合密度分布参数 ,用椭球体集合来分解混合密度分布 ,从而构造了神经网络的中间层基函数的状态。