Python implementation of Radial Basis Function network with no external packages
Function defination:
where x ranges from 0~1 and the noise ranges from -1 to 1
The final curve looks like this:
The training process includes forward-pass, backward-pass and online update for the weights. Using k-means to dertermine the centers and variance of the training data and use these two parameters as the initial setup
