Graham Kendall
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Professor Graham Kendall

Professor Graham Kendall is the Provost and CEO of The University of Nottingham Malaysia Campus (UNMC). He is also a Pro-Vice Chancellor of the University of Nottingham.

He is a Director of MyResearch Sdn Bhd, Crops for the Future Sdn Bhd. and Nottingham Green Technologies Sdn Bhd. He is a Fellow of the British Computer Society (FBCS) and a Fellow of the Operational Research Society (FORS).

He has published over 230 peer reviewed papers. He is an Associate Editor of 10 journals and the Editor-in-Chief of the IEEE Transactions of Computational Intelligence and AI in Games.

News

What do we spend so much in supermarkets?
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Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

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2015 General Election Prediction: Wisdom of the Crowds

Publication(s)

A New Model and a Hyper-heuristic Approach for Two-dimensional Shelf Space Allocation
RATE_LIMIT_EXCEEDED
Irregular Packing using the Line and Arc No-Fit Polygon
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Sports Scheduling: Minimizing Travel for English Football Supporters
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Hybridising heuristics within an estimation distribution algorithm for examination timetabling
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Graham Kendall: Details of Requested Publication


Citation

Binner, J.M; Gazely, A.M and Kendall, G Evaluating the performance of a EuroDivisia index using artificial intelligence techniques. In Proceedings of the 8th International Conference on Information Systems (JCIS 2005), pages 871-874, 2005.

An extended version of this paper was published in the International Journal of Automation and Computing, 5 (1): 58-62, 2008


Abstract

We compare two methods in order to predict inflation rates in Europe. One method uses a standard back propagation neural network and the other uses an evolutionary approach, where the network weights and the network architecture is evolved. Results indicate that back propagation produces superior results. However, the evolving network still produces reasonable results with the advantage that the experimental set-up is minimal. Also of interest is the fact that the Divisia measure of money is superior as a predictive tool over simple sum.


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Bibtex

@INPROCEEDINGS{bgk2005, author = {J.M. Binner and A.M. Gazely and G. Kendall},
title = {Evaluating the performance of a EuroDivisia index using artificial intelligence techniques},
booktitle = {Proceedings of the 8th International Conference on Information Systems (JCIS 2005)},
year = {2005},
pages = {871--874},
note = {An extended version of this paper was published in the International Journal of Automation and Computing, 5 (1): 58-62, 2008},
abstract = {We compare two methods in order to predict inflation rates in Europe. One method uses a standard back propagation neural network and the other uses an evolutionary approach, where the network weights and the network architecture is evolved. Results indicate that back propagation produces superior results. However, the evolving network still produces reasonable results with the advantage that the experimental set-up is minimal. Also of interest is the fact that the Divisia measure of money is superior as a predictive tool over simple sum.},
keywords = {EuroDivisia, Divisia, Money, inflation, evolution strategies, neural networks},
owner = {gxk},
timestamp = {2011.01.02},
webpdf = {http://www.graham-kendall.com/papers/bgk2005.pdf} }