How to solve functional approximating,nonlinear multivariable equation systems and scattered data interpolation with RBFNN is elaborated in this paper. Simultaneously,numerical examples are given combining with the toolbox of MATLAB neural networks and experimental results are compared with some other methods.
文章阐述如何利用RBFNN进行函数逼近、求解非线性方程组以及散乱数据插值,结合MATLAB神经网络工具箱给出了数值实例,并与BP网络等方法进行了比较。
参考来源 - RBF网络及其在数值计算中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
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