An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

The Artificial Neural Network market was USD 248M in 2023 and is expected to reach USD 1256M by 2032, growing at a 19.79% CAGR from 2024 to 2032.

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

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 ...

Although SNNs are currently more efficient than artificial neural networks (ANNs), they are not as accurate as ANNs ... In Figure 2 describes the typical network architecture of ANN and SNN, which was ...

Abstract: Air quality forecasting is critical for environmental monitoring and public health, and in this study, we propose a hybrid approach utilizing Gooseneck Barnacle Optimization (GBO) and ...