Artificial neural network and regression models for performance prediction of abrasive waterjet in rock cutting

Author:

Aydin Gokhan,Karakurt Izzet,Hamzacebi Coskun

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Cited by 60 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of operations in waterjet technology: a review;Advances in Materials and Processing Technologies;2023-11-06

2. Performance Prediction of Abrasive Water Jet Machining Composite Laminates Using Artificial Neural Networks and Regression Analysis Method;Proceedings of the 2nd International Conference on Innovative Materials, Manufacturing, and Advanced Technologies;2023-09-13

3. Modeling and multi-objective optimization of abrasive water jet machining process of composite laminates using a hybrid approach based on neural networks and metaheuristic algorithm;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2023-08-24

4. Rail repair technology based on high-pressure abrasive water jet;The International Journal of Advanced Manufacturing Technology;2023-04-05

5. Applications of Artificial Neural Network Simulation for Prediction of Wear Rate and Coefficient of Friction Titanium Matrix Composites;Materials Research;2023

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