Hybrid machining simulator based on predictive machining theory and neural network modelling
10.1016/S0924-0136(99)00068-0
Saved in:
Main Authors: | Li, X.P., Iynkaran, K., Nee, A.Y.C. |
---|---|
Other Authors: | MECHANICAL & PRODUCTION ENGINEERING |
Format: | Article |
Published: |
2014
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/58358 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Integrated application of expert systems and neural networks for machining operation sequencing
by: Shan, X.H., et al.
Published: (2014) -
Modelling of cutting forces in helical end milling using a predictive machining theory
by: Li, H.Z., et al.
Published: (2014) -
Geometric simulation of NC machining based on STL models
by: Zhou, Z.D., et al.
Published: (2014) -
Recognition of overlapping machining features based on hybrid artificial intelligent techniques
by: Li, W.D., et al.
Published: (2014) -
A hybrid method for recognizing interacting machining features
by: Li, W.D., et al.
Published: (2014)