Graham Kendall
Various Images

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

The hunt for MH370
http://bit.ly/1DXRLbu
How are university examinations scheduled?
http://bit.ly/1z0pG4s

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

When Sports Rules Go Awry: How TheConversation led to a collaborative paper

Publication(s)

Co-evolution of Successful Trading Strategies in A Simulated Stock Market
http://bit.ly/eAkoXn
Grammatical Evolution of Local Search Heuristics
http://bit.ly/1c3ciu6
Multi-method algorithms: Investigating the entity-to-algorithm allocation problem
http://bit.ly/1goMj5g
An investigation of a tabu assisted hyper-heuristic genetic algorithm
http://bit.ly/e1WFfU

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.


pdf

You can download the pdf of this publication from here


doi

This publication does not have a doi, so we cannot provide a link to the original source

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



URL

This pubication does not have a URL associated with it.

The URL is only provided if there is additional information that might be useful. For example, where the entry is a book chapter, the URL might link to the book itself.


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} }