Articles | Volume 17, issue 2
https://doi.org/10.5194/ms-17-747-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jul 2026
Research article |
| 20 Jul 2026
| 20 Jul 2026
An enhanced neural network-based method for predicting step error in a five-axis finishing machining
Cited articles
Al-Faiz, M. Z., Ibrahim, A. A., and Hadi, S. M.: The effect of Z-Score standardization (normalization) on binary input due the speed of learning in back-propagation neural network, Iraqi Journal of Information and Communication Technology, 1, 42–48, 2018.
Cascino, A., Delle Monache, S., Lanzillo, L., Mazzeo, F., Nencioni, L., Nicolella, A., Strano, S., and Terzo, M.: Development and Experimental Testing of a 3D Vision System for Railway Freight Wagon Monitoring, Appl. Sci., 15, 11547, https://doi.org/10.3390/app152111547, 2025.
Chen, T., Wang, L., Liu, Y., and Chen, C. P.: Double-kernel based Bayesian approximation broad learning system with dropout, Neurocomputing, 610, 128533, https://doi.org/10.1016/j.neucom.2024.128533, 2024.
Eskandari, S., Arezoo, B., and Abdullah, A.: Positional, geometrical, and thermal errors compensation by tool path modification using three methods of regression, neural networks, and fuzzy logic, Int. J. Adv. Manuf. Tech., 65, 1635–1649, 2013.
Fariz, T. N. and Basha, S. S.: Enhancing solar radiation predictions through COA optimized neural networks and PCA dimensionality reduction, Energy Reports, 12, 341–359, 2024.
