Comparison of regression, ANN, ANFIS, and ChatGPT prediction of turning cutting force
Author:
Affiliation:
1. Faculty of Engineering, Department of Mechanical Engineering, Amasya University, Amasya, Turkey
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/09544828.2024.2311063
Reference42 articles.
1. Effect of PVD-TiN and CVD-Al2O3 Coatings on Cutting Force, Surface Roughness, Cutting Power, and Temperature in Hard Turning of AISI H13 Steel
2. Prediction and Optimization of Surface Roughness in a Turning Process Using the ANFIS-QPSO Method
3. Comparing the accuracy of ANN and ANFIS models for predicting the thermal data
4. The Emerging Engineering Applications of Artificial Neural Networks: A Visionary Study
5. Artifical Intelligence Inspired Approach to Numerically Investigate Chip Morphology in Machining AISI630;Ali Shafahat;International Journal on Interactive Design and Manufacturing (IJIDeM),2023
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