TY  - BOOK
AU  - Fei,Minrui
AU  - Peng,Chen
AU  - Su,Zhou
AU  - Song,Yang
AU  - Han,Qinglong
ED  - SpringerLink (Online service)
TI  - Computational Intelligence, Networked Systems and Their Applications: International Conference of Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Shanghai, China, September 20-23, 2014, Proceedings, Part II 
T2  - Communications in Computer and Information Science,
SN  - 9783662452615
AV  - Q334-342 
U1  - 006.3 23
PY  - 2014///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Computer science
KW  - Computer system performance
KW  - Artificial intelligence
KW  - Computer simulation
KW  - Computer vision
KW  - Engineering
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Computational Intelligence
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Simulation and Modeling
KW  - System Performance and Evaluation
N1  - Advanced neural network theory and algorithms -- Advanced evolutionary computing theory and algorithms, such as particle swarm optimization, differential evolution, ant colonies, artificial life, artificial immune systems and genetic algorithm -- Fuzzy, neural, and fuzzy-neuro hybrids -- Intelligent modeling, monitoring, and control of complex nonlinear systems -- Intelligent modeling and simulation of climate change -- Communication and control for distributed networked systems
N2  - This book constitutes the second part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, held in Shanghai, China, in September 2014. The 159 revised full papers presented in the three volumes of CCIS 461-463 were carefully reviewed and selected from 572 submissions. The papers of this volume are organized in topical sections on advanced neural network theory and algorithms; advanced evolutionary computing theory and algorithms, such as particle swarm optimization, differential evolution, ant colonies, artificial life, artificial immune systems and genetic algorithm; fuzzy, neural, and fuzzy-neuro hybrids; intelligent modeling, monitoring, and control of complex nonlinear systems; intelligent modeling and simulation of climate change; communication and control for distributed networked systems
UR  - http://dx.doi.org/10.1007/978-3-662-45261-5
ER  -