Bayesian Artificial Neural Networks | with Applications in Water Resources Engineering

Greer Kingston (u. a.)

ISBN 10: 3639223241 / ISBN 13: 9783639223248

Published by VDM Verlag Dr. Müller, 2010

Bayesian Artificial Neural Networks | with Applications in Water Resources Engineering | Greer Kingston (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639223248 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101382415

Synopsis:

Given the nonlinearity, complexity and limited physical understanding of many processes occurring within water resource systems, artificial neural networks may at times be the best available tool for modelling such systems. However, despite the increasing use of neural network models, they are still viewed with some scepticism by users of more conventional modelling methodologies, primarily due to their “black box” nature. In this book, a new Bayesian framework for developing artificial neural networks is presented, which aims to address what are considered to be the three most significant issues hindering the wider acceptance of artificial neural networks in the field of water resources engineering; namely generalisability, interpretability and uncertainty. Throughout the development of this framework, emphasis is placed on obtaining accurate results, while maintaining simplicity of implementation, which is considered to be of utmost importance for adoption of the framework by practitioners in the field of water resources engineering.

About the Author: Greer Kingston gained her PhD from the University of Adelaide, Australia. She has since continued to work in the field of statistical modelling with particular focus on natural catastrophe risk. Holger Maier and Martin Lambert are both Professors in the School of Civil, Environmental and Mining Engineering at the University of Adelaide.

Greer Kingston gained her PhD from the University of Adelaide, Australia. She has since continued to work in the field of statistical modelling with particular focus on natural catastrophe risk. Holger Maier and Martin Lambert are both Professors in the School of Civil, Environmental and Mining Engineering at the University of Adelaide.

Greer Kingston gained her PhD from the University of Adelaide, Australia. She has since continued to work in the field of statistical modelling with particular focus on natural catastrophe risk. Holger Maier and Martin Lambert are both Professors in the School of Civil, Environmental and Mining Engineering at the University of Adelaide.

Bibliographic Details

Title: Bayesian Artificial Neural Networks | with ...
Publisher: VDM Verlag Dr. Müller
Publication Date: 2010
Binding: Taschenbuch
Condition: Neu