Nature

Improved self adaptive differential evolution optimized BP neural network for short term entry passenger flow prediction in urban rail transit

To address the issues of traditional BP neural networks being prone to local optima and exhibiting limited prediction accuracy in short-term station entry passenger flow prediction for urban rail ...
Nature

Graph neural network surrogates to leverage mechanistic expert knowledge towards reliable and immediate pandemic response

Mathematical models can help public health experts and decision makers to explore potential future outcomes of ongoing disease dynamics. In particular during the recent COVID-19 crisis, mathematical ...
Visual Studio Magazine

Neural Network Quantile Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...