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Innovations in Bio-inspired Computing and Applications Proceedings of the 4th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2013, August 22 -24, 2013 - Ostrava, Czech Republic

Title
Innovations in Bio-inspired Computing and Applications [electronic resource] : Proceedings of the 4th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2013, August 22 -24, 2013 - Ostrava, Czech Republic / edited by Ajith Abraham, Pavel Krömer, Václav Snášel.
ISBN
9783319017815
Publication
Cham : Springer International Publishing : Imprint: Springer, 2014.
Physical Description
XIII, 306 p. 117 illus. online resource.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at IBICA2013, the 4th International Conference on Innovations in Bio-inspired Computing and Applications. The aim of IBICA 2013 was to provide a platform for world research leaders and practitioners, to discuss the full spectrum of current theoretical developments, emerging technologies, and innovative applications of Bio-inspired Computing. Bio-inspired Computing is currently one of the most exciting research areas, and it is continuously demonstrating exceptional strength in solving complex real life problems. The main driving force of the conference is to further explore the intriguing potential of Bio-inspired Computing. IBICA 2013 was held in Ostrava, Czech Republic and hosted by the VSB - Technical University of Ostrava.
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
October 07, 2013
Series
Advances in intelligent systems and computing ; 237.
Advances in Intelligent Systems and Computing, 237
Contents
From the Contents: Power output models of Ordinary Differential Equations by Polynomial and Recurrent Neural Networks
An Experimental Analysis of Reservoir Parameters of the Echo State Queuing Network model
Measuring Phenotypic Structural Complexity of Artificial Cellular Organisms
Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters.
Also listed under
Krömer, Pavel.
Snášel, Václav.
SpringerLink (Online service)
Citation

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