Artificial neural network techniques in cold roll-forming process design

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Artificial neural network techniques in cold roll-forming process design

Anthony Downes, Peter Hartley

School of Mechanical Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.

DOI:

https://doi.org/10.7494/cmms.2008.2.0191

Abstract:

There are several types of Artificial Neural Networks (ANN) each having different capabilities and characteristics that permit a wide range of applications. The purpose of this paper is to review three applications of ANN systems in the context of cold roll-forming process design. A brief description of each system explains the significance of the network architecture and training technique, and emphasizes the importance of selecting the most suitable system for the problem being processed.

Cite as:

Downes, A., Hartley, P., (2008). Artificial neural network techniques in cold roll-forming process design. Computer Methods in Materials Science, 8(2), 111 – 120. https://doi.org/10.7494/cmms.2008.2.0191

Article (PDF):

Keywords:

Artificial neural network, Cold roll-forming

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