There has been a great interest recently in the construction of large-scale computer simulations of anatomically detailed neuronal network models of brain areas [1]. The main feature of these ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Abstract: A transient stability model based on back propagation neural network is used to analyse transient stability of Java-Bali electricity system, especially in calculating the critical clearing ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In the next half-century, physical chemistry will likely undergo a profound ...

The fusion of artificial neural networks (NNs) with photonics has generated significant implications across various scientific fields and industries. A new tutorial review published in the journal ...

Abstract: In this article, we review neural networks which have neurons with binary operations or networks that use binary transforms such as the Walsh-Hadamard transform (WHT). Neural networks with ...

Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based ...

ABSTRACT: Intelligent equipment is a kind of device that is characterized by intelligent sensor interconnections, big data processing, new types of displays, human-machine interaction and so on for ...