This project focuses on the development of a gradient-based optimization method for multidimensional real functions and neural networks using exponential decay with Tensorflow and Keras. Optimization ...

Recent work uses a simplistic approximation to the matrix exponential derivative to apply gold-standard models from evolutionary biology to a collection of challenging data analyses. Whereas one may ...

Abstract: This article is devoted to discussing the exponential synchronization for a kind of delay derivative coupled neural networks with stochastic disturbance and multiple time-varying delays. To ...