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)|
|Creators||Ding, L., Yue, Y., John, P. and Walters, M.|
|Departments||Faculty of Engineering & Design > Mechanical Engineering|
Actions (login required)