Abstract
Original language | English |
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Pages | 41-46 |
Number of pages | 6 |
Publication status | Published - 2000 |
Event | 16th National Conference on Manufacturing Research - London Duration: 5 Sep 2000 → 7 Sep 2000 |
Conference
Conference | 16th National Conference on Manufacturing Research |
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City | London |
Period | 5/09/00 → 7/09/00 |
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Artificial Neural Network Applications to Feature Recognition. / Ding, Lian; Yue, Yong; John, Painter; Walters, Mick.
2000. 41-46 Paper presented at 16th National Conference on Manufacturing Research, London, .Research output: Contribution to conference › Paper
}
TY - CONF
T1 - Artificial Neural Network Applications to Feature Recognition
AU - Ding, Lian
AU - Yue, Yong
AU - John, Painter
AU - Walters, Mick
PY - 2000
Y1 - 2000
N2 - 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.
AB - 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.
M3 - Paper
SP - 41
EP - 46
ER -