Frontiers

Neural Network Dynamics: Unraveling Spiking and Synaptic Plasticity in Learning and Memory

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
IEEE

Physics-Informed Neural Network for Model Prediction and Dynamics Parameter Identification of Collaborative Robot Joints

Abstract: Collaborative robots have promising potential for widespread use in small-and-medium-sized enterprise (SME) manufacturing and production due to the development of increasingly sophisticated ...
IEEE

Toward Efficient and Interpretative Rolling Bearing Fault Diagnosis via Quadratic Neural Network With Bi-LSTM

Abstract: With the widespread application of deep learning in Internet of Things (IoT), remarkable achievements have been made especially in rolling bearing fault diagnosis in rotating machinery.