There're three parameters in the Radial Basis Function Networks (RBFN).
- Centers of RBFs
- Width of RBFs
- Weights of RBFs
It's a fact that Weights can be easily updated using a simple Gradient Descent. My question is: Can we optimize Centers and Widths of RBFs using Gradient Descent such that approximation will tend to be better.
Any suggestion is welcome.