Zalzala, Ali. M.S. (1993) A Neural Network Methodology for Engineering Applications: The Learning Control of Robotic Systems. Research Report. ACSE Research Report 480 . Department of Automatic Control and Systems Engineering
Abstract
This paper presents a methodology for the application of artificial neural networks in engineering applications. In this approach, the conventional control model is used to provide knowledge to the designed network, hence giving a further insight into the solution of the specific task. The presented method is implemented for different modules of robot control with outstanding success.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 24 Jun 2014 11:11 |
Last Modified: | 24 Oct 2016 20:33 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 480 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:79497 |