The classification of metal transfer mode using neural networks

To develop a control strategy for a Metal Inert Gas (M.I.G.) welding system it is necessary to classify several parameters in order to describe the process state. Neural networks have been identified as an appropriate processing technology because of the noisiness of weld data and the non-linearity...

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Bibliographic Details

Main Authors:	Daniel Vincent, John McCardle, Raymond Stroud
Format:	Default Conference proceeding
Published:	1995
Subjects:	Design not elsewhere classified untagged Design Practice and Management not elsewhere classified
Online Access:	https://hdl.handle.net/2134/26101
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