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Publications by Gaoyan Zhong
Precision Obtained Using an Artificial Neural Network for Predicting the Material Removal Rate in Ultrasonic Machining
Applied Sciences (Switzerland)
Instrumentation
Materials Science
Fluid Flow
Engineering
Computer Science Applications
Process Chemistry
Transfer Processes
Technology
Related publications
Support Vector Fuzzy Adaptive Network in the Modeling of Material Removal Rate in Rotary Ultrasonic Machining
Journal of Manufacturing Science and Engineering, Transactions of the ASME
Control
Systems Engineering
Industrial
Mechanical Engineering
Manufacturing Engineering
Computer Science Applications
Material Removal Mechanism in Micro Ultrasonic Machining
Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
Mechanical Engineering
Predicting S&P500 Index Using Artificial Neural Network
IFIP Advances in Information and Communication Technology
Computer Networks
Information Systems
Management
Communications
Predicting Road Traffic Accidents Using Artificial Neural Network Models
Infrastructure Asset Management
An Artificial Neural Network Approach for Predicting Architectural Speech Security (L)
Journal of the Acoustical Society of America
Acoustics
Ultrasonics
Arts
Humanities
A Mechanistic Approach to the Prediction of Material Removal Rates in Rotary Ultrasonic Machining
Journal of Engineering for Industry
Material Removal Rate and Tool Wear Rate on Machining of Inconel 718 Using Electrical Discharge Machine
Research & Development in Material Science
Analysis of Photon Scattering Trends for Material Classification Using Artificial Neural Network Models
IEEE Transactions on Nuclear Science
Electronic Engineering
Nuclear
Nuclear Energy
High Energy Physics
Engineering
Electrical
Improvement of Material Removal Rate of Ti-6Al-4v Alloy by Electrical Discharge Machining With Multiple Ultrasonic Vibration.
Keikinzoku/Journal of Japan Institute of Light Metals
Mechanics of Materials
Alloys
Materials Chemistry
Metals
Mechanical Engineering
