Neurofuzzy Modelling of Fatigue Threshold Behaviour in Ni-Base Superalloys
Schooling, J.M., Brown, M. and Reed, P.A.S. (1997) Neurofuzzy Modelling of Fatigue Threshold Behaviour in Ni-Base Superalloys. Engineering Against Fatigue
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Description/Abstract
Neurofuzzy algorithms combine pure neural network heuristic modelling with fuzzy logic utilisation of a priori knowledge, providing data efficient and transparent analysis. Such a technique has been employed in this work to model fatigue thresholds in Ni-Base superalloys. Some success has been achieved, and the potential for this technique to become a powerful tool in alloy development has been demonstrated.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | Address: Sheffield, UK |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science |
| Item ID: | 250030 |
| Date Deposited: | 04 May 1999 |
| Last Modified: | 01 Mar 2012 10:16 |
| Contributors: | Schooling, J.M. (Author) Brown, M. (Author) Reed, P.A.S. (Author) |
| Date: | March 1997 |
| Additional Information: | Address: Sheffield, UK |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/250030 |
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