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Titlebook: Artificial Intelligence and Neural Networks; 14th Turkish Symposi F. Acar Savacı Conference proceedings 2006 Springer-Verlag Berlin Heidelb

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期刊全称Artificial Intelligence and Neural Networks
期刊简称14th Turkish Symposi
影响因子2023F. Acar Savacı
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Artificial Intelligence and Neural Networks; 14th Turkish Symposi F. Acar Savacı Conference proceedings 2006 Springer-Verlag Berlin Heidelb
影响因子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 scie
Pindex Conference proceedings 2006
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书目名称Artificial Intelligence and Neural Networks影响因子(影响力)




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书目名称Artificial Intelligence and Neural Networks网络公开度学科排名




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书目名称Artificial Intelligence and Neural Networks被引频次学科排名




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书目名称Artificial Intelligence and Neural Networks年度引用学科排名




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书目名称Artificial Intelligence and Neural Networks读者反馈学科排名




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Comparison of Complex-Valued Neural Network and Fuzzy Clustering Complex-Valued Neural Network for y of estimation busbar voltages in load-flow analysis using the conventional neural network (real-valued neural network, RVNN), the CVNN and the new FC-CVNN. The results suggest that a new proposed FC-CVNN and CVNN architecture can generalize better than ordinary RVNN and the FC-CVNN is also learn f
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Information - Organisation - Produktionead drives, so that it can have better motion, clambering and tracking performances. Successful navigation and path following results are obtained with several experiments by various control applications
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Conclusion: The Hayek Differencey of estimation busbar voltages in load-flow analysis using the conventional neural network (real-valued neural network, RVNN), the CVNN and the new FC-CVNN. The results suggest that a new proposed FC-CVNN and CVNN architecture can generalize better than ordinary RVNN and the FC-CVNN is also learn f
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Multiple Robot Path Planning for Robot Soccer, for robotic soccer game which includes a vision system, a strategic play algorithm and small mobile robots. The aim of the vision system for RoboCup small robot league is to track and predict the motion states of 6 agents and a ball, and send the states information to the Artificial Intelligence mo
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