WORKSHOP: Machine learning methods for ecological applications

drm D.R.Morse at ukc.ac.uk
Fri Feb 28 00:10:28 EST 1997


	Machine learning methods for ecological applications

	Biological Sciences, MMU, Manchester. 19 April 1997.

The Ecological Computing group of the British Ecological Society are
organizing a one day workshop on 'Machine Learning Methods in Ecology'.
The aim of the meeting to is to explore the potential of a range of
these techniques for ecological problems. We have organised the meeting
so that most people will avoid the need of an overnight stay in
Manchester. Offers of posters are welcomed.

The meeting will be on Saturday 19th April 1997 in the Department of 
Biological Sciences, Manchester Metropolitan University, Oxford Road,
Manchester. There is a charge of 15pounds per person, which includes 
morning and afternoon coffee and lunch.

Requests for further information should be sent to Sue King, 
Biological Sciences, Manchester Metropolitan University, Chester 
Street, Manchester, M1 5GD Tel: 0161 247 1160. Fax 0161 247 6325. E-
mail s.e.king at mmu.ac.uk.

Programme

10.00 Registration and coffee

10.30 A.Fielding (MMU) Introduction 

10.45 D.Chesmore (University of Hull)
      Neural networks and expert systems for automated insect 
      identification.

11.20 L.Boddy (University of Cardiff) 
      Identification and quantification of mixed species populations 
      using artificial neural networks.

11.55 P.Riordan (MMU) 
      Unsupervised classifications in ecology: an application using 
      individual recognition of tigers from their footprints.

12.30 Lunch

1.30  J.N.R. Jeffers (Kendal)
      Ecological applications of the BEAGLE and GAFFER genetic 
      algorithms.

2.05  A. Fielding (MMU)
      Cost sensitive mate choice: an approach based on a genetic 
      algorithm.

2.40  Cofee

3.00  J. McGlade (University of Warwick)
      Simcoast - a fuzzy logic expert system for coastal ecosystems.

3.35  I. Bratko (University of Ljubljana)
      Machine induction of symbolic models from ecological data.

4.10  Close and discussion.

--
Dr David R. Morse,         Email: D.R.Morse at ukc.ac.uk
Computing Laboratory,      Phone: (01227) 764000 extn 7571
University of Kent,        Direct dial: (01227) 827571
Canterbury,                Fax:   (01227) 762811
Kent CT2 7NF. United Kingdom





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