Artificial Intelligence and Neural Networks

1. Front Matter

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2. A Case Study on Logging Visual Activities: Chess Game

   • Şükrü Ozan, Şevket Gümüştekin

   Pages 1-10

3. Multiple Robot Path Planning for Robot Soccer

   • Çağdaş Yetişenler, Ahmet Özkurt

   Pages 11-23

4. Navigation and GPS Based Path Control of an Autonomous Vehicle

   • Erol Uyar, Levent Çetin, Aytaç Gören

   Pages 24-31

5. A Generative Model for Multi Class Object Recognition and Detection

   • Ilkay Ulusoy

   Pages 32-40

6. Depth of General Scenes from Defocused Images Using Multilayer Feedforward Networks

   • Veysel Aslantas, Mehmet Tunckanat

   Pages 41-48

7. Tracking Control Based on Neural Network for Robot Manipulator

   • Murat Sonmez, Ismet Kandilli, Mehmet Yakut

   Pages 49-57

8. Performance Evaluation of Recurrent RBF Network in Nearest Neighbor Classification

   • Mehmet Kerem Müezzinoğlu

   Pages 58-69

9. Tracking Aircrafts by Using Impulse Exclusive Filter with RBF Neural Networks

   • Pınar Çivicioğlu

   Pages 70-77

10. A Multilayer Feedforward Fuzzy Neural Network

    • Aydoğan Savran

    Pages 78-83

11. Neural Networks and Cascade Modeling Technique in System Identification

    • Erdem Turker Senalp, Ersin Tulunay, Yurdanur Tulunay

    Pages 84-91

12. Comparison of Complex-Valued Neural Network and Fuzzy Clustering Complex-Valued Neural Network for Load-Flow Analysis

    • Murat Ceylan, Nurettin Çetinkaya, Rahime Ceylan, Yüksel Özbay

    Pages 92-99

13. A New Formulation for Classification by Ellipsoids

    • Ayşegül Uçar, Yakup Demir, Cüneyt Güzeliş

    Pages 100-106

14. DSP Based Fuzzy-Neural Speed Tracking Control of Brushless DC Motor

    • Çetin Gençer, Ali Saygin, İsmail Coşkun

    Pages 107-116

15. Fault Diagnosis with Dynamic Fuzzy Discrete Event System Approach

    • Erdal Kılıç, Çağlar Karasu, Kemal Leblebicioğlu

    Pages 117-124

16. A Hybrid Neuro-Fuzzy Controller for Brushless DC Motors

    • Muammer Gökbulut, Beşir Dandil, Cafer Bal

    Pages 125-132

17. Can a Fuzzy Rule Look for a Needle in a Haystack?

    • Akira Imada

    Pages 133-140

18. Protein Solvent Accessibility Prediction Using Support Vector Machines and Sequence Conservations

    • Hasan Oğul, Erkan Ü. Mumcuoğlu

    Pages 141-148

19. Instrument Independent Musical Genre Classification Using Random 3000 ms Segment

    • Ali Cenk Gedik, Adil Alpkocak

    Pages 149-157

20. Unsupervised Image Segmentation Using Markov Random Fields

    • Abdulkadir Şengür, İbrahim Türkoğlu, M. Cevdet İnce

    Pages 158-167

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.

• artificial intelligence
• classification
• fuzzy
• fuzzy logic
• image processing
• intelligence
• learning
• learning theory
• machine learning
• neural network
• robot
• robotics

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)

• Izmir Institute of Technology, Electrical Electronics Engineering, Urla, Turkey

  F. Acar Savacı

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