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- Library of Congress Subject Areas (8)
- Q Science (8)
- QA Mathematics (8)
- QA75 Electronic computers. Computer science (8)
- QA76.87 Neural networks (8)
- QA75 Electronic computers. Computer science (8)
- QA Mathematics (8)
- Q Science (8)
Number of items at this level: 8.
- Ampratwum, C. S. (1999) Identification of chemical species using artificial intelligence to interpret optical emission spectra. Doctoral thesis. University of Leicester.
- Mabbutt, S. J., Picton, P., Shaw, P. and Black, S. (2012) Review of Artificial Neural Networks (ANN) applied to corrosion monitoring. Journal of Physics: Conference Series. 364(1), 012114. 1742-6596.
- Picton, P., Campbell, J. and Turner, S. J. (2001) Modelling chronic pain: an initial survey. In: Zhang, L. and Gu, F. (eds.) ICONIP-2001 Proceedings: 8th International Conference on Neural Information Proceeding. Shanghai: Fudan University Press. 9787309030129. pp. 1267-1270.
- Triastuti Sugiyarto, E. (2007) Analysing rounding data using radial basis function neural networks model. Masters thesis. The University of Northampton.
- Turner, S. J. (2011) Neural nets. Seminar Presentation presented to: Robotics Workshop. Bot Shop!, University of Derby, 28 October 2011. (Unpublished)
- Wang, Y., Picton, P., Turner, S. J. and Attenburrow, G. E. (2011) Predicting leather handle like an expert by artificial neural networks. Applied Artificial Intelligence. 25(2), pp. 180-192. 0883-9514.
- Wang, Y., Picton, P., Turner, S. J. and Attenburrow, G. E. (2007) A neural network approach to investment the objective and subjective measurements of leather handle. In: Proceedings of the Symposium on Methods of Artificial Intelligence, AIMETH 2007. Poland: Silesian University of Technology. pp. 241-246.
- Wang, Y. (2009) Development of an artificial neural network model to predict expert judgement of leather handle from instrumentally measured parameters. Doctoral thesis. The University of Northampton.