Shanmuganathan Artificial Neural Network Modelling

Artificial Neural Network Modelling

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Beschreibung

 

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.    


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.    


Recent research in Artificial Neural Network Modelling Contains stimulating papers presented in the Advances and Applications in Artificial Neural Network (ANN) session at the 20th International Congress on Modelling and Simulation (MODSIM2013) held at the Adelaide Convention Centre in Adelaide, South Australia in 2013 Covers theoretical aspects as well as a few more recent novel ANN applications in natural, environmental and biological systems for modelling small, large and complex systems Featured topics include: Genetic programming, supervised and unsupervised ANNs and fuzzy representations Includes supplementary material: sn.pub/extras

Autor*in

Subana Shanmuganathan

Themen in »Artificial Neural Network Modelling«

ANN Artificial Neural Networks Modelling Computational Intelligence Fuzzy Representations Genetic Programming Supervised and Unsupervised ANNs

Stimmen zu »Artificial Neural Network Modelling«

Details

ISBN: 9783319284934
Verlag: Springer International Publishing
Erscheinung: 12.02.2016

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