Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study

Inverse kinematics is a significant challenge in robotic manipulators, and finding practical solutions plays a crucial role in achieving precise control. This paper presents a study on solving inverse kinematics problems using the Feed-Forward Back-Propagation Neural Network (FFBP-NN) and examines i...

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Veröffentlicht in:	Chaos theory and applications Jg. 6; H. 2; S. 90 - 110
Hauptverfasser:	Bouzid, Rania, Gritli, Hassène, Narayan, Jyotindra
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Akif AKGUL 30.06.2024
Schlagworte:	artifical neural network bayesian regularization algorithm different datasets feed-forward backpropagation hyperparameters inverse kinematics levenberg-marquardt algorithm mean squared error r-value robotic manipulator scaled conjugate gradient algorithm
ISSN:	2687-4539, 2687-4539
Online-Zugang:	Volltext
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