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Machine Learning Methods for Ecological Applications

Edited By: Alan H Fielding

261 pages, Figs, tabs

Kluwer Academic Publishers

Hardback | Dec 1999 | #106328 | ISBN: 0412841908
Availability: Usually dispatched within 2-3 weeks Details
NHBS Price: £141.50 $187/€160 approx

About this book

All but one of the chapters are written by ecologists and biologists who highlight the application of a particular method to a particular class of problem.

'I believe this book is a very useful contribution and an excellent starting point for ecologists who are interested in applying machine learning methods to ecological problems.' Uygar Ozesmi in Ecology, 81:9 (2000)


Contributors. Preface. Acknowledgements. 1. An introduction to machine learning methods; A. Fielding. 2. Artificial neural networks for pattern recognition; L. Boddy, C.W. Morris. 3. Tree-based methods; J.F. Bell. 4. Genetic Algorithms I; J.N.R. Jeffers. 5. Genetic Algorithms II; D.R.B. Stockwell. 6. Cellular automata; D. Dunkerley. 7. Equation discovery with ecological applications; S. Szeroski, et al. 8. How should accuracy be measured? A. Fielding. 9. Real learning; B. Stevens-Wood. Author Index. Subject Index.

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