Machine Learning Methods for Ecological Applications (eBook, PDF)

Redaktion: Fielding, Alan H.

• Format: PDF

Produktbeschreibung

This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particular class of problem.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 261
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461552895
• Artikelnr.: 44179304

Inhaltsangabe

1. An introduction to machine learning methods.- 2. Artificial neural networks for pattern recognition.- 3. Tree-based methods.- 4. Genetic Algorithms I.- 5. Genetic Algorithms II.- 6. Cellular automata.- 7. Equation discovery with ecological applications.- 8. How should accuracy be measured?.- 9. Real learning.- Author Index.

Rezensionen

`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 Özesmi in Ecology, 81:9 (2000)

`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 Özesmi in Ecology, 81:9 (2000)