Uses for Neural Networks A major reason for the popularity of neural networks is that they can solve real-world problems and make intelligent decisions with little to no human intervention. They ...

Feed-forward neural networks are now widely used in classification problems, whereas nonlinear methods of discrimination developed in the statistical field are much less widely known. A general ...

Recent advances at the intersection of neural networks and inverse scattering problems have transformed traditional approaches to imaging and material characterisation.

The most basic task for convolutional neural networks is image classification, in which the network takes an image as input and returns a list of values that represent the probability that the ...