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

A Conversation article celebrating Pi
http://bit.ly/1DXuXbV
A Conversation article celebrating Pi
http://bit.ly/1DXuXbV

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

The Monty Hall Problem

Publication(s)

A task based approach for a real-world commodity routing problem
http://bit.ly/1mlrzCS
A Survey and Analysis of Diversity Measures in Genetic Programming
http://bit.ly/eA1Rvy
A Survey and Analysis of Diversity Measures in Genetic Programming
http://bit.ly/eA1Rvy
A Strategy with Novel Evolutionary Features for the Iterated Prisoner's Dilemma
http://bit.ly/eURggX

Graham Kendall: Details of Requested Publication


Citation

Binner, J; Chen, Q- and Kendall, G Evolving Weights for a new UK Divisia. In In Proceedings of the 7th International Conference on Computational Intelligence in Economics and Finance, pages 179-185, Kainan University, Taoyuan, Taiwan, 2008.


Abstract

Divisia money is a monetary aggregate that gives each component an assigned weight. We use an evolutionary neural network to calculate new Divisia weights for each component utilising the Bank of England monetary data for the U.K. We propose a new money aggregate using our newly derived weights to carry out quantitative inflation prediction. The results show that this new money aggregate has better inflation forecasting performance than the traditionally constructed Bank of England Divisia money.


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Bibtex

@INPROCEEDINGS{bck2008, author = {J. Binner and Q-B Chen and G. Kendall},
title = {Evolving Weights for a new UK Divisia.},
booktitle = {In Proceedings of the 7th International Conference on Computational Intelligence in Economics and Finance},
year = {2008},
pages = {179--185},
address = {Kainan University, Taoyuan, Taiwan},
month = {5-7 Dec 2008, Kainan University, Taoyuan, Taiwan},
abstract = {Divisia money is a monetary aggregate that gives each component an assigned weight. We use an evolutionary neural network to calculate new Divisia weights for each component utilising the Bank of England monetary data for the U.K. We propose a new money aggregate using our newly derived weights to carry out quantitative inflation prediction. The results show that this new money aggregate has better inflation forecasting performance than the traditionally constructed Bank of England Divisia money.},
keywords = {Divisia, inflation, prediction, neural networks, artificial neural networks},
owner = {est},
timestamp = {2010.03.18},
webpdf = {http://www.graham-kendall.com/papers/bck2008.pdf} }