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 ...

Neural networks have emerged as powerful tools in the field of neutron spectrometry and dosimetry by offering non-linear, data‐driven approaches to reconstruct complex neutron energy spectra and ...

Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively ...

Image segmentation is a pivotal pre-processing step in computer vision that involves partitioning an image into segments to simplify or change its representation for easier analysis. Over recent ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...