Mathematical equations that relate a function to its derivatives, used to describe various phenomena in science and engineering. Neural Networks: Computational models inspired by the human brain ...

Hence, researchers often simulate the brain as a network of coupled neural masses, each described by a mean-field model. These models capture the essential features of neuronal populations while ...

As the name suggests, neural ... helps make the network more efficient and accurate. Once the two values, weights, and bias, are added, the result is fed to an activation function.

Department of Chemistry and Chemical Biology, Center for Computational Chemistry, University of New Mexico, Albuquerque, New Mexico 87131, United States ...

There is a pressing need for extensive research to augment the existing theoretical frameworks. This paper introduces a Self-Organizing Map (SOM) neural network-based methodology for port function ...

To evaluate the effectiveness of prescribed-time ZNN under delay environment, prescribed-time delayed zeroing neural network (PTDZNN) is proposed for solving time-varying equations in this article. It ...

Learn More A new neural-network architecture developed by researchers ... and long-term memory — each serving a different function with different neural structures, and each capable of operating ...