BIOENGINEER

Self-Tuning Neural Network Teaches Robot Swarms to Converge Faster and Shrug Off Noise

Researchers have developed a self-tuning zeroing neural network with a dynamic adaptive gain and integral activation function ...
english.cas

Dynamic Clustering Accelerates Neural Networks on Resource-Constrained Platforms

Called Dynamic Clustering for Channel Pruning (DCCP), the method reduced the floating-point operations of ResNet-50 by 68.52% ...
Nature

Dynamic Neural Network Architectures for Efficient Inference articles from across Nature Portfolio

An Adaptive Sparse Graph Neural Network (AS-GNN) framework is proposed for real-time classification of hedonic and utilitarian responses in neuromarketing applications, addressing the computational ...
Medical Xpress

A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics

A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...
BIOENGINEER

Neural Network Meets Super-Twisting Control to Make Robot Arms Move With Unprecedented Precision

Researchers in China have combined an online-learning radial basis function neural network with super-twisting sliding-mode ...
pv magazine International

PV energy forecasting based on genetic algorithms, dynamic neural network

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 ...