Modelling Perception with Artificial Neural Networks

ISBN 10: 0521763959 / ISBN 13: 9780521763950

Verlag: Cambridge University Press, 2010

Beschreibung

Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_425452137

Bibliografische Details

Titel: Modelling Perception with Artificial Neural ...

Verlag: Cambridge University Press

Erscheinungsdatum: 2010

Einband: hardcover

Zustand: Good

Über diesen Titel

Inhaltsangabe:

A complete survey of neural network models, with an introduction to the theme of the book for those new to the field along with methodological issues and suggestions for potential research areas for specialists. Includes contributions from experts in the field.

Biografía del autor:

Colin Tosh is a postdoctoral researcher currently based in the Institute of Integrative and Comparative Biology, University of Leeds. He began his career as an experimental behavioural biologist, specialising in the host utilisation behaviour of insects. More recently he has extended his interests to theoretical biology and is currently interested in applying neural network models to study the impact of information degradation and bias between trophic levels (such as predator-prey and herbivore-plant). He is author of numerous papers in international journals of ecology and evolution and recently published a major review on insect behaviour.

Graeme Ruxton is Professor of Theoretical Ecology at the University of Glasgow. He began life as a physicist, but ended up in behavioural ecology after a detour into statistics. His interests focus on the use of mathematical models as tools for understanding animal behaviour, with particular interest in cognitive aspects of predator-prey interactions. He has co-authored over 200 peer-reviewed papers, one textbook and two monographs. Ruxton and Tosh have several years of experience of fruitful collaboration, centred on the use of neural networks as representations of the sensory and decision-making processes of predators.