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

In the rapidly evolving fields of computer vision (CV) and machine learning (ML), both software frameworks and hardware ...

This chapter investigates the load frequency control (LFC) based on a neural network for improving power system dynamic ... in order to prove the superiority of the NARMA‐L2 controller.

This paper addresses a valuable research question on the heritability of the brain's response to movie watching, given various parameters such as regional spatial hyperalignment and BOLD frequency ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and ...

Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most ...

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 ...

It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a ...

A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural ...