Neural network characterisation of ultrasonic data and its use in the control of submerged arc welding
Main Author: | |
---|---|
Published: |
Brunel University
1992
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332840 |
id |
ndltd-bl.uk-oai-ethos.bl.uk-332840 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-bl.uk-oai-ethos.bl.uk-3328402015-03-19T10:27:57ZNeural network characterisation of ultrasonic data and its use in the control of submerged arc weldingHarris, Thomas John1992670Industrial processes & manufacturing processesBrunel Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332840Electronic Thesis or Dissertation |
collection |
NDLTD |
sources |
NDLTD |
topic |
670 Industrial processes & manufacturing processes |
spellingShingle |
670 Industrial processes & manufacturing processes Harris, Thomas John Neural network characterisation of ultrasonic data and its use in the control of submerged arc welding |
author |
Harris, Thomas John |
author_facet |
Harris, Thomas John |
author_sort |
Harris, Thomas John |
title |
Neural network characterisation of ultrasonic data and its use in the control of submerged arc welding |
title_short |
Neural network characterisation of ultrasonic data and its use in the control of submerged arc welding |
title_full |
Neural network characterisation of ultrasonic data and its use in the control of submerged arc welding |
title_fullStr |
Neural network characterisation of ultrasonic data and its use in the control of submerged arc welding |
title_full_unstemmed |
Neural network characterisation of ultrasonic data and its use in the control of submerged arc welding |
title_sort |
neural network characterisation of ultrasonic data and its use in the control of submerged arc welding |
publisher |
Brunel University |
publishDate |
1992 |
url |
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332840 |
work_keys_str_mv |
AT harristhomasjohn neuralnetworkcharacterisationofultrasonicdataanditsuseinthecontrolofsubmergedarcwelding |
_version_ |
1716774633538060288 |