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Neurofuzzy Modelling of Fatigue Threshold Behaviour in Ni-Base Superalloys

Proceedings article published in 1997 by J. M. Schooling, M. Brown, Philippa A. S. Reed ORCID
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

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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.