Artificial Neural Network Applications to Feature Recognition

Lian Ding; Yong Yue; Painter John; Mick Walters

Artificial Neural Network Applications to Feature Recognition

Lian Ding, Yong Yue, Painter John, Mick Walters

Department of Mechanical Engineering

Research output: Contribution to conference › Paper

Abstract

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.

Original language	English
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
City	London
Period	5/09/00 → 7/09/00

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Cite this

Ding, L., Yue, Y., John, P., & Walters, M. (2000). Artificial Neural Network Applications to Feature Recognition. 41-46. Paper presented at 16th National Conference on Manufacturing Research, London, .

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title = "Artificial Neural Network Applications to Feature Recognition",

abstract = "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.",

author = "Lian Ding and Yong Yue and Painter John and Mick Walters",

year = "2000",

language = "English",

pages = "41--46",

note = "16th National Conference on Manufacturing Research ; Conference date: 05-09-2000 Through 07-09-2000",

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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

T2 - 16th National Conference on Manufacturing Research

Y2 - 5 September 2000 through 7 September 2000

ER -