Artificial Neural Network Modelling
Editors: Shanmuganathan, Subana, Samarasinghe, Sandhya (Eds.)
Free Preview- 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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- About this book
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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)
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Artificial Neural Network Modelling: An Introduction
Pages 1-14
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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
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Artificial Neural Networks as Models of Robustness in Development and Regeneration: Stability of Memory During Morphological Remodeling
Pages 45-65
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A Structure Optimization Algorithm of Neural Networks for Pattern Learning from Educational Data
Pages 67-82
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Stochastic Neural Networks for Modelling Random Processes from Observed Data
Pages 83-107
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Table of contents (21 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Artificial Neural Network Modelling
- Editors
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- 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
*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works and instructor copies are not included.
