Artificial neural network modelling

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 categorie...

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Detalles Bibliográficos
Autores principales: Shanmuganathan, Subana, Samarasinghe, Sandhya
Lenguaje:eng
Publicado: Springer 2016
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-28495-8
http://cds.cern.ch/record/2137857
Descripción
Sumario: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. .

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