Artificial neural network modelling /

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Bibliographic Details
Imprint:Cham : Springer, 2016.
Description:1 online resource (vii, 472 pages) : illustrations (some color)
Language:English
Series:Studies in computational intelligence, 1860-949X ; volume 628
Studies in computational intelligence ; v. 628.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11252927
Hidden Bibliographic Details
Other authors / contributors:Shanmuganathan, Subana, editor.
Samarasinghe, Sandhya, editor.
ISBN:9783319284958
3319284959
3319284932
9783319284934
9783319284934
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
English.
Online resource; title from PDF title page (SpringerLink, viewed February 16, 2016).
Summary:This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.
Other form:Printed edition: 9783319284934
Standard no.:10.1007/978-3-319-28495-8