Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence

The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring - gether researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the multifaceted aspects of intelligent computing. ICIC 2009, held in Ulsan, Korea, September 16-19, 2009, constituted the 5th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 held in Shanghai, Qingdao, Kunming, and Hefei, China, 2008, 2007, 2006, and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the p- ture of contemporary intelligent computing techniques as an integral concept that hi- lights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was Emerging Intelligent Computing Technology and Applications. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Klappentext

This book - in conjunction with the volume LNCS 5754 - constitutes the refereed proceedings of the 5th International Conference on Intelligent Computing, ICIC 2009, held in Ulsan, South Korea in September 2009.

The 214 revised full papers of these two volumes were carefully reviewed and selected from a total of 1082 submissions. The papers of this volume are organized in topical sections on Neural Networks, Evolutionary Learning & Genetic Algorithms, Granular Computing & Rough Sets, Fuzzy Theory and Models, Fuzzy Systems and Soft Computing, Swarm Intelligence and Optimization, Supervised & Semi-supervised Learning, Kernel Methods and Supporting Vector Machines, Combinatorial & Numerical Optimization, Systems Biology and Computational Biology, Neural Computing and Optimization, Knowledge Discovery and Data Mining, Artificial Life and Artificial Immune Systems, Ensemble Methods, Machine Learning Theory and Methods, Biological and Quantum Computing, Intelligent Computing in Pattern Recognition, Dynamic Spectrum Sharing Systems, New Particle Swarm Optimization and Its Applications, Intelligent Signal Processing for Interactive Brain-Machine-Interfacing, Advances in Intelligent Information Processing, Computational Intelligence in Bioinformatics and Systems Biology, Network-based Intelligent Technologies, and 2D vs 3D Intelligent Biometric and Face Recognition Techniques.

Inhalt
Neural Networks.- Evolutionary Learning and Genetic Algorithms.- Granular Computing and Rough Sets.- Fuzzy Theory and Models.- Fuzzy Systems and Soft Computing.- Swarm Intelligence and Optimization.- Supervised and Semi-supervised Learning.- Kernel Methods and Supporting Vector Machines.- Combinatorial and Numerical Optimization.- Systems Biology and Computational Biology.- Neural Computing and Optimization.- Knowledge Discovery and Data Mining.- Artificial Life and Artificial Immune Systems.- Ensemble Methods.- Machine Learning Theory and Methods.- Biological and Quantum Computing.- Intelligent Computing in Pattern Recognition.- On Dynamic Spectrum Sharing Systems.- On New Particle Swarm Optimization and Its Applications.- On Intelligent Signal Processing for Interactive Brain-Machine-Interfacing.- On Advances in Intelligent Information Processing.- On Computational Intelligence in Bioinformatics and Systems Biology.- On Network-Based Intelligent Technologies.- On 2D versus 3D Intelligent Biometric and Face Recognition Techniques.