Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

RJ-PINNs, introduced by Dadoyi Dadesso, is a pioneering framework using Jacobian-based least-squares (TRF) to directly minimize residuals without traditional loss functions. This method is the first ...

Li, S. and Tan, Q. (2025) Bankruptcy Prediction in the Polish Banking Industry Using Principal Component Analysis and BP ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...