Items where Author is "McLean, David A."
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Article
Dancey, Darren, Bandar, Zuhair A. and McLean, David A. (2007) Logistic model tree extraction from artificial neural networks. man and cybernetics part B (Cybernetics), 37 (4). pp. 794-802. ISSN 1083-4419
Crockett, Keeley, Bandar, Zuhair A., McLean, David A. and O'Shea, James (2006) On constructing a fuzzy inference framework using crisp decision trees. Fuzzy sets and systems, 157 (21). pp. 2809-2832. ISSN 1872-6801
Li, Yuhua, McLean, David A., Bandar, Zuhair A., O'Shea, James and Crockett, Keeley (2006) Sentence similarity based on semantic nets and corpus statistics. IEEE transactions on knowledge and data engineering, 18 (8). pp. 1138-1150. ISSN 1558-2191
Wedge, David C., Ingram, David M., McLean, David A., Mingham, Clive G. and Bandar, Zuhair A. (2006) On global-local artificial neural networks for function approximation. IEEE Transactions on Neural Networks, 17 (4). pp. 942-952. ISSN 1045-9227
Wedge, David C., Ingram, David M., Mingham, Clive G., McLean, David A. and Bandar, Zuhair A. (2005) Neural network architectures and overtopping predictions. Proceedings of the Institution of Civil Engineers: Maritime Engineering, 158 (3). pp. 123-133. ISSN 1741-7597
Li, Yuhua, Bandar, Zuhair A. and McLean, David A. (2003) An approach for measuring semantic similarity between words using multiple information sources. IEEE transactions on knowledge and data engineering, 15 (4). pp. 871-882. ISSN 1041-4347
Book Section
Wedge, David C., Ingram, David M., McLean, David A., Mingham, Clive G. and Bandar, Zuhair A. (2005) A global-local artificial neural network with application to wave overtopping prediction. In: Wedge, D.C. et al. A global-local artificial neural network with application to wave overtopping prediction. In Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, Springer, 2005, pp. 109-114. Springer.
Conference or Workshop Item
Dancey, Darren, McLean, David A. and Bandar, Zuhair A. (2004) Decision tree extraction from trained neural networks. [Conference or Workshop Item]