A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions

Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel

We propose an algorithm for optimizing the parameters of single hidden layer neural networks. Specifically, we derive a blockwise difference-of-convex (DC) functions representation…