Abstract: The approximation power for dynamic systems of a novel neural network model-standard neural network model (SNNM) is examined. Applying Stone-Weierstrass theorem, it is proved that SNNM is ...

We propose an evolutionary neural network-training algorithm for beta basis function neural networks (BBFNN). Classic training algorithms for neural networks start with a predetermined network ...

This function computes a smooth approximation of the Dirac delta function for level set methods, focused near the zero level set. Input: 2D matrix phi represnets the level set function, scalar epsilon ...