Artificial Neural Network Applications to Feature Recognition


Ding, L., Yue, Y., John, P. and Walters, M., 2000. Artificial Neural Network Applications to Feature Recognition. In: 16th National Conference on Manufacturing Research, 2000-09-05 - 2000-09-07.

Related documents:

This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below.


This paper presents an overview on current research in feature recognition using artifi-cial neural network (ANN) techniques. ANN-based feature recognition approaches can eliminate some drawbacks of conventional feature recognition methods, and therefore have become an important research focus. The paper discusses the four main issues re-lated to ANN-based feature recognition techniques with the current systems, namely topology of neural network, input representations, training methods and output formats. Finally, it summarises limitations and future research directions.


Item Type Conference or Workshop Items (Paper)
CreatorsDing, L., Yue, Y., John, P. and Walters, M.
DepartmentsFaculty of Engineering & Design > Mechanical Engineering
ID Code14944


Actions (login required)

View Item