An Adaptive Neuro-Fuzzy Inference System modeling for material removal rate in stationary ultrasonic drilling of sillimanite ceramic
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Cited by 25 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. A RETROSPECTIVE ANALYSIS ON DRILLING OPERATION AND ITS PARAMETERS: A CRITICAL REVIEW;Surface Review and Letters;2023-07-29
2. Predictive Modeling and Analysis of Material Removal Characteristics for Robotic Belt Grinding of Complex Blade;Applied Sciences;2023-03-27
3. Predictive Modeling and Analysis of Material Removal Characteristics for Robotic Belt Grinding of Complex Blade;2022-10-27
4. Application of adaptive neuro-fuzzy inference system and data mining approach to predict lost circulation using DOE technique (case study: Maroon oilfield);Petroleum;2020-12
5. Determination of Major, Minor and Trace Metallic Constituents in Sillimanite: Comparative Evaluation of EDXRF and D. C. Arc Carrier Distillation AES;Atomic Spectroscopy;2020-07-27
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