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Echo State Networks used for Motor Control

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2006
This paper applies a new kind of recurrent neu ral networks (RNN) called Echo State Networks (ESN) [4] to the classical problem of motor speed control for a differential drive robot. ESNs can be trained orders of magnitude faster than other RNNs and previous simulation-based investigations showed promising results when ESNs where used as black box ...
Matthias Salmen, Paul-Gerhard Plöger
openaire   +1 more source

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions

IEEE Transactions on Industrial Informatics, 2020
Ruonan Liu, Fei Wang, Boyuan Yang
exaly  

Brain Network Analysis Results of Finger Motor Execution and Motor Imagery

Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022
Fengyue Liu   +7 more
openaire   +1 more source

Networked Motors

Eureka!, 2018
openaire   +1 more source

Identifying the Functional Brain Network of Motor Reserve in Early Parkinson's Disease

Movement Disorders, 2020
Seok Jong Chung   +2 more
exaly  

A somato-cognitive action network alternates with effector regions in motor cortex

Nature, 2023
Evan M Gordon   +2 more
exaly  

Application of BP Neural Network in Motor PID

Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering, 2023
Chen Wang 0090, Xiaodong Yao
openaire   +1 more source

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