最小二乘算法在RBF神经网络中的应用

RBF神经网络构造的关键问题是网络中心的选取，最小二乘算法采用正交化方法，独立计算回归算子对输出的贡献，可以使中心的选择步骤简单有效。文章给出了最小二乘算法及其应用函数逼近的实例，结果证明，由于计算过程中应用了这一算法的正交化性质，所以网络调整时对已有模式的扰动达到最小。这说明最小二乘算法不仅简单有效，而且性能优越，并有较强的实用性，在许多领域有广泛应用。

Application of OLS Algorithm in RBF Neural Network

The .selecting of the network center is the leading problem in making radial basic function network. Because the OLS algorithm adopts orthogonal method and the contribution of independent calculating for it, it makes the process simple and effective. At the end of the paper an example of the application approximation of functions is given to explain the arithmetic. The example indi- cates that the OLS is an excellent algorithm because its orthogonal quality. It makes fewer disturbances to the former model, so it has wide application.