Studies in Computational Intelligence

Artificial Neural Network Modelling

Editors: Shanmuganathan, Subana, Samarasinghe, Sandhya (Eds.)

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  • 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
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eBook $129.00
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  • ISBN 978-3-319-28495-8
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About this book

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.    

Table of contents (21 chapters)

Table of contents (21 chapters)
  • Artificial Neural Network Modelling: An Introduction

    Pages 1-14

    Shanmuganathan, Subana

  • Order in the Black Box: Consistency and Robustness of Hidden Neuron Activation of Feed Forward Neural Networks and Its Use in Efficient Optimization of Network Structure

    Pages 15-43

    Samarasinghe, Sandhya

  • Artificial Neural Networks as Models of Robustness in Development and Regeneration: Stability of Memory During Morphological Remodeling

    Pages 45-65

    Hammelman, Jennifer (et al.)

  • A Structure Optimization Algorithm of Neural Networks for Pattern Learning from Educational Data

    Pages 67-82

    Yang, Jie (et al.)

  • Stochastic Neural Networks for Modelling Random Processes from Observed Data

    Pages 83-107

    Ling, Hong (et al.)

Buy this book

eBook $129.00
price for USA in USD
  • ISBN 978-3-319-28495-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover $169.99
price for USA in USD
Softcover $169.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Neural Network Modelling
Editors
  • Subana Shanmuganathan
  • Sandhya Samarasinghe
Series Title
Studies in Computational Intelligence
Series Volume
628
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-28495-8
DOI
10.1007/978-3-319-28495-8
Hardcover ISBN
978-3-319-28493-4
Softcover ISBN
978-3-319-80363-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
VII, 472
Number of Illustrations
63 b/w illustrations, 124 illustrations in colour
Topics