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

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Savacı, F. Acar (Ferit Acar), editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 3949.
Lecture Notes in Artificial Intelligence ; 3949
Language:
English
Subjects (All):
Artificial intelligence.
Pattern perception.
Logic, Symbolic and mathematical.
Information storage and retrieval.
Application software.
Computers.
Artificial Intelligence.
Pattern Recognition.
Mathematical Logic and Formal Languages.
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Computation by Abstract Devices.
Local Subjects:
Artificial Intelligence.
Pattern Recognition.
Mathematical Logic and Formal Languages.
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Computation by Abstract Devices.
Physical Description:
1 online resource (X, 228 pages).
Edition:
First edition 2006.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
System Details:
text file PDF
Summary:
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.
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.
Other Format:
Printed edition:
ISBN:
978-3-540-36861-8
9783540368618
Access Restriction:
Restricted for use by site license.

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