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...

Celý popis

Podrobná bibliografia

Vydané v:	Chaos theory and applications Ročník 6; číslo 2; s. 90 - 110
Hlavní autori:	Bouzid, Rania, Gritli, Hassène, Narayan, Jyotindra
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Akif AKGUL 30.06.2024
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!