TY  - BOOK
AU  - Huang,De-Shuang
AU  - Wunsch,Donald C.
AU  - Levine,Daniel S.
AU  - Jo,Kang-Hyun
ED  - SpringerLink (Online service)
TI  - Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence: 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783540859840
AV  - Q334-342 
U1  - 006.3 23
PY  - 2008///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Database management
KW  - Information storage and retrieval systems
KW  - Artificial intelligence
KW  - Optical pattern recognition
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Mathematical Logic and Formal Languages
KW  - Computation by Abstract Devices
KW  - Information Storage and Retrieval
KW  - Database Management
KW  - Pattern Recognition
N1  - Neural Networks -- Evolutionary Computing and Genetic Algorithms -- Fuzzy Systems and Soft Computing -- Particle Swarm Optimization and Niche Technology -- Supervised and Semi-supervised Learning -- Unsupervised and Reinforcement Learning -- Fine Feature Extraction Methods -- Combinatorial and Numerical Optimization -- Neural Computing and Optimization -- Case Based Reasoning and Autonomy-Oriented Computing -- Artificial Life and Artificial Immune Systems -- Special Session on Computational Analysis and Data Mining in Biological Systems -- Special Session on Data Mining and Fusion in Bioinformatics – Advances in Soft Computing Approach -- Special Session on Intelligent Pattern Recognition and Understanding in Image Processing
N2  - This book - in conjunction with the two volumes CCIS 0015 and LNCS 5226 - constitutes the refereed proceedings of the 4th International Conference on Intelligent Computing, ICIC 2008, held in Shanghai, China, in September 2008. The 136 revised full papers were carefully reviewed and selected from 2336 submissions. The papers address all current issues in the field of intelligent computing technology, including neural networks, evolutionary computing and genetic algorithms, fuzzy systems and soft computing, particle swarm optimization and niche technology, supervised and semi-supervised learning, unsupervised and reinforcement learning, fine feature extraction methods, combinatorial and numerical optimization, neural computing and optimization, case based reasoning and autonomy-oriented computing, as well as artificial life and artificial immune systems. The volume is rounded off by three special sessions on computational analysis and data mining in biological systems, on data mining and fusion in bioinformatics, and on intelligent pattern recognition and understanding in image processing
UR  - http://dx.doi.org/10.1007/978-3-540-85984-0
ER  -