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?
http://bit.ly/1yW6If7
How are football fixtures worked out?
http://bit.ly/1z0oTAH

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How Isaac Newton could help you beat the casino at roulette

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Publication(s)

A New Bottom-left-Fill Heuristic Algorithm for the 2D Irregular Packing Problem
http://bit.ly/fneYnV
Hyper-heuristics: a survey of the state of the art
http://bit.ly/1eSDAeb
An Iterated Local Search with Multiple Perturbation Operators and Time Varying Perturbation Steength for the Aircraft Landing Problem
http://bit.ly/1KJ1818
Multi-method algorithms: Investigating the entity-to-algorithm allocation problem
http://bit.ly/1goMj5g

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. International Journal of Automation and Computing, 5 (1): 58-62, 2008.

A previous version of this paper was presented at the 8th International Conference on Information Systems in 2005


Abstract

This paper compares two methods 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 are 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.


pdf

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doi

The doi for this publication is 10.1007/s11633-008-0058-3 You can link directly to the original paper, via the doi, from here

What is a doi?: A doi (Document Object Identifier) is a unique identifier for sicientific papers (and occasionally other material). This provides direct access to the location where the original article is published using the URL http://dx.doi/org/xxxx (replacing xxx with the doi). See http://dx.doi.org/ for more information


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Bibtex

@ARTICLE{bgk2008, author = {J.M. Binner and A.M. Gazely and G. Kendall},
title = {Evaluating the performance of a EuroDivisia index using artificial intelligence techniques},
journal = {International Journal of Automation and Computing},
year = {2008},
volume = {5},
pages = {58--62},
number = {1},
note = {A previous version of this paper was presented at the 8th International Conference on Information Systems in 2005},
abstract = {This paper compares two methods 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 are 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.},
doi = {10.1007/s11633-008-0058-3},
issn = {1476-8186},
keywords = {EuroDivisia, Divisia, Money, inflation, evolution strategies, neural networks},
owner = {est},
timestamp = {2010.02.22},
webpdf = {http://www.graham-kendall.com/papers/bgk2008.pdf} }