Machine Learning Methods for Ecological Applications
Author:   Alan H. Fielding
Publisher:   Chapman and Hall
Edition:   1999 ed.
ISBN:  

9780412841903


Pages:   261
Publication Date:   31 August 1999
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Machine Learning Methods for Ecological Applications


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Full Product Details

Author:   Alan H. Fielding
Publisher:   Chapman and Hall
Imprint:   Chapman and Hall
Edition:   1999 ed.
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   1.270kg
ISBN:  

9780412841903


ISBN 10:   0412841908
Pages:   261
Publication Date:   31 August 1999
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

Reviews

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 A-zesmi 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 A-zesmi 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 Ozesmi in Ecology, 81:9 (2000)


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