Artificial Neural Networks - ICANN 2008

1. Front Matter

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2. Pattern Recognition and Data Analysis

   1. Investigating Similarity of Ontology Instances and Its Causes

      • Anton Andrejko, Mária Bieliková

      Pages 1-10

   2. A Neural Model for Delay Correction in a Distributed Control System

      • Ana Antunes, Fernando Morgado Dias, Alexandre Mota

      Pages 11-20

   3. A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets

      • Gianluca Bontempi, Patrick E. Meyer

      Pages 21-31

   4. Non-stationary Data Mining: The Network Security Issue

      • Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino

      Pages 32-41

   5. Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products

      • Pablo M. Granitto, Franco Biasioli, Cesare Furlanello, Flavia Gasperi

      Pages 42-51

   6. Extraction of Binary Features by Probabilistic Neural Networks

      • Jiří Grim

      Pages 52-61

   7. Correlation Integral Decomposition for Classification

      • Marcel Jiřina, Marcel Jiřina Jr.

      Pages 62-71

   8. Modified q-State Potts Model with Binarized Synaptic Coefficients

      • Vladimir Kryzhanovsky

      Pages 72-80

   9. Learning Similarity Measures from Pairwise Constraints with Neural Networks

      • Marco Maggini, Stefano Melacci, Lorenzo Sarti

      Pages 81-90

   10. Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines

       • Yi Sun, Mark Robinson, Rod Adams, Alistair Rust, Neil Davey

       Pages 91-100

   11. Mimicking Go Experts with Convolutional Neural Networks

       • Ilya Sutskever, Vinod Nair

       Pages 101-110

   12. Associative Memories Applied to Pattern Recognition

       • Roberto A. Vazquez, Humberto Sossa

       Pages 111-120

   13. MLP-Based Detection of Targets in Clutter: Robustness with Respect to the Shape Parameter of Weibull-Disitributed Clutter

       • Raul Vicen-Bueno, Eduardo Galán-Fernández, Manuel Rosa-Zurera, Maria P. Jarabo-Amores

       Pages 121-130

3. Hardware, Embedded Systems

   1. Modeling and Synthesis of Computational Efficient Adaptive Neuro-Fuzzy Systems Based on Matlab

      • Guillermo Bosque, Javier Echanobe, Inés del Campo, José M. Tarela

      Pages 131-140

   2. Embedded Neural Network for Swarm Learning of Physical Robots

      • Pitoyo Hartono, Sachiko Kakita

      Pages 141-149

   3. Distribution Stream of Tasks in Dual-Processor System

      • Michael Kryzhanovsky, Magomed Malsagov

      Pages 150-158

   4. Efficient Implementation of the THSOM Neural Network

      • Rudolf Marek, Miroslav Skrbek

      Pages 159-168

   5. Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks

      • Nadia Nedjah, Rodrigo Martins da Silva, Luiza de Macedo Mourelle, Marcus Vinicius Carvalho da Silva

      Pages 169-178

   6. Implementation of Central Pattern Generator in an FPGA-Based Embedded System

      • Cesar Torres-Huitzil, Bernard Girau

      Pages 179-187

This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is devoted to pattern recognition and data analysis, hardware and embedded systems, computational neuroscience, connectionistic cognitive science, neuroinformatics and neural dynamics. it also contains papers from two special sessions coupling, synchronies, and firing patterns: from cognition to disease, and constructive neural networks and two workshops new trends in self-organization and optimization of artificial neural networks, and adaptive mechanisms of the perception-action cycle.

• Controller Area Network
• algorithmic learning
• bayesian statistics
• bioinspired computing
• biomedical data analysis
• classification
• cognitive systems
• computational neuroscience
• data mining
• decision making
• distributed computing
• embedded systems
• evolutionary systems
• pattern recognition
• perception

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