Furthermore, the gradient descent and recursion least squares are used to optimize the parameters of the basis function and the linear weight of the output layer, respectively.

• 同时为进一步提高网络性能，采用梯度下降法与递推最小二乘法混合学习策略，分别对基函数参数（中心与宽度）和输出层线性权值进行学习。