Artificial Intelligence and Neural Networks: 14th Turkish Symposium, TAINN 2005, Izmir, Turkey, June 16-17, 2005, Revised Selected Papers by F. Acar SavaciArtificial Intelligence and Neural Networks: 14th Turkish Symposium, TAINN 2005, Izmir, Turkey, June 16-17, 2005, Revised Selected Papers by F. Acar Savaci

Artificial Intelligence and Neural Networks: 14th Turkish Symposium, TAINN 2005, Izmir, Turkey…

byF. Acar Savaci

Paperback | July 18, 2006

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The Turkish Artificial Intelligence and Neural Network Symposium (TAINN) is an annual meeting where scientists present their new ideas and algorithms on artificial intelligence and neural networks with either oral or poster presentation. The TAINN- Turkish Conference on AI and NN Series started in 1992 at Bilkent University in Ankara, envisioned by various researchers in AI and NN then at the Bilkent, Middle East Technical, Bo aziçi and Ege universities as a forum for local researchers to get together and communicate. Since then, TAINN has been held annually around early summer. This year the 14th TAINN conference was organized by the EE and CE departments of the zmir Institute of Technology with an emphasis on international contributions. Among the 75 papers, 41 were accepted for oral presentation and 12 for poster presen-tation. In addition to the presentations, invited lectures were given by Burhan Türk en (Knowledge/Intelligence Systems Laboratory, University of Toronto) and Joerg Siekmann (German Research Center for Artificial Intelligence DFKI, Saarland University), providing us with new developments in the field. We are very grateful to the contributions of such pioneer scientists.
Title:Artificial Intelligence and Neural Networks: 14th Turkish Symposium, TAINN 2005, Izmir, Turkey…Format:PaperbackDimensions:228 pages, 21 × 14.8 × 1.73 inPublished:July 18, 2006Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540367136

ISBN - 13:9783540367130

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Table of Contents

A Case Study on Logging Visual Activities: Chess Game.- Multiple Robot Path Planning for Robot Soccer.- Navigation and GPS Based Path Control of an Autonomous Vehicle.- A Generative Model for Multi Class Object Recognition and Detection.- Depth of General Scenes from Defocused Images Using Multilayer Feedforward Networks.- Tracking Control Based on Neural Network for Robot Manipulator.- Performance Evaluation of Recurrent RBF Network in Nearest Neighbor Classification.- Tracking Aircrafts by Using Impulse Exclusive Filter with RBF Neural Networks.- A Multilayer Feedforward Fuzzy Neural Network.- Neural Networks and Cascade Modeling Technique in System Identification.- Comparison of Complex-Valued Neural Network and Fuzzy Clustering Complex-Valued Neural Network for Load-Flow Analysis.- A New Formulation for Classification by Ellipsoids.- DSP Based Fuzzy-Neural Speed Tracking Control of Brushless DC Motor.- Fault Diagnosis with Dynamic Fuzzy Discrete Event System Approach.- A Hybrid Neuro-Fuzzy Controller for Brushless DC Motors.- Can a Fuzzy Rule Look for a Needle in a Haystack?.- Protein Solvent Accessibility Prediction Using Support Vector Machines and Sequence Conservations.- Instrument Independent Musical Genre Classification Using Random 3000 ms Segment.- Unsupervised Image Segmentation Using Markov Random Fields.- Modeling Interestingness of Streaming Classification Rules as a Classification Problem.- Refining the Progressive Multiple Sequence Alignment Score Using Genetic Algorithms.- An Evolutionary Local Search Algorithm for the Satisfiability Problem.- HIS: Hierarchical Solver for Over-Constrained Satisfaction Problems.- Elevator Group Control by Using Talented Algorithm.- A Fault Tolerant System Using Collaborative Agents.- 3-D Object Recognition Using 2-D Poses Processed by CNNs and a GRNN.

Editorial Reviews

From the reviews:"This volume contains 26 papers presented at the Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN), from 2005. . this book is mainly for specialists in the area of artificial intelligence (AI) and neural networks (NNs)." (K. Waldhör, Computing Reviews, Vol. 50 (1), January, 2009)