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Number of items: 5.
Conference or workshop item
| Yang, Yong Y. and Mahfouf, Mahdi and Zhang, Qian (2011) Optimal input selection for neural fuzzy modelling with application to Charpy energy prediction. In: Fuzzy Systems (FUZZ), 2011 IEEE International Conference on. IEEE pp. 2756-2762. ISBN 978-1-4244-7315-1. E-ISBN 978-1-4244-7316-8. (doi:https://doi.org/10.1109/FUZZY.2011.6007735) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) |
| Mahfouf, Mahdi and Yang, Yong Y. and Zhang, Qian (2009) Characterisation of model error for Charpy impact energy of heat treated steels using probabilistic reasoning and a Gaussian mixture model. In: Automation in Mining, Mineral and Metal Processing. pp. 225-230. (doi:https://doi.org/10.3182/20091014-3-CL-4011.00041) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) |
| Mahfouf, Mahdi and Yang, Yong Y. and Zhang, Qian (2009) Modelling Charpy impact energy of heat-treated-steel using efficient neural-networks & genetic-algorithms. In: Automation in Mining, Mineral and Metal Processing. pp. 237-242. (doi:https://doi.org/10.3182/20091014-3-CL-4011.00043) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) |
| Gaffour, Sid-ahmed and Mahfouf, Mahdi and Yang, Yong Y. and Gama, Miguel and Zhang, Qian (2009) Real-time implementation of new nonlinear neural adaptive generalized predictive speed control for a hot-rolling mill. In: Automation in Mining, Mineral and Metal Processing. pp. 243-248. (doi:https://doi.org/10.3182/20091014-3-CL-4011.00044) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) |
| Yang, Yong Y. and Mahfouf, Mahdi and Linkens, Derek A. and Zhang, Qian (2009) Tensile strength prediction for hot rolled steels by Bayesian neural network model. In: Automation in Mining, Mineral and Metal Processing. pp. 255-260. (doi:https://doi.org/10.3182/20091014-3-CL-4011.00046) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) |
