Abraham / Krömer / Snášel | Innovations in Bio-inspired Computing and Applications | E-Book | sack.de
E-Book

E-Book, Englisch, Band 237, 306 Seiten, eBook

Reihe: Advances in Intelligent Systems and Computing

Abraham / Krömer / Snášel 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
2014
ISBN: 978-3-319-01781-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

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

E-Book, Englisch, Band 237, 306 Seiten, eBook

Reihe: Advances in Intelligent Systems and Computing

ISBN: 978-3-319-01781-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



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.

Abraham / Krömer / Snášel Innovations in Bio-inspired Computing and Applications jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


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.- Multi Objective Optimization Strategy Suitable For Virtual Cells as a Service.- An Application of Process Mining to Invoice Verification Process in SAP :.- Emergent Induction of Deterministic Context-free L-system Grammar.- Double Expert System for Monitoring and Re-adaptation of PID Controller.- Multiplier System in the Tile Assembly Model with Reduced Tileset-size :.- A Bezier Curve-based Approach for Path Planning in Robot Soccer.- Adaptively Nearest Feature Point Classier for Face Recognition.- Comparison of Classification Algorithms for Physical Activity Recognition.- Modular Algorithm in Tile Self-Assembly.- LLLA: New Efficient Channel Assignment Method in Wireless Mesh Networks.- Binary Matrix Pseudo-Division and its Applications.- Nature Inspired Phenotype Analysis with 3D Model Representation Optimization.- Multi-Class SVM based Classification Approach for Tomato Ripeness.- Solving Stochastic Vehicle Routing Problem with real Simultaneous Pickup and Delivery using Differential Evolution.- An Intelligent Multi-Agent Recommender System.-Geodata Scale Restriction using Genetic Algorithm.- Principal Component Analysis Neural Network Hybrid Classification Approach for Galaxies Images.- Comparison of Crisp, Fuzzy and Possibilistic threshold in Spatial Queries.-Visualizing Clusters in the Photovoltaic Power Station Data by Sammons Projection.- Rough Power Set Tree for Feature Selection and Classification: case study on MRI brain tumor.-The Nelder-Mead Simplex Method With Variables Partitioning for Solving Large Scale Optimization Problems.- SVM-based Classification for Identification of Ice Types in SAR Images Using Color Perception Phenomena.- Evaluation of Electrocardiographic Leads and Establishing Significance Intra-Individuality.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.