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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Bibliographic Details

Published in:	Chaos theory and applications Vol. 6; no. 2; pp. 90 - 110
Main Authors:	Bouzid, Rania, Gritli, Hassène, Narayan, Jyotindra
Format:	Journal Article
Language:	English
Published:	Akif AKGUL 30.06.2024
Subjects:	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 Access:	Get full text
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