Computational Intelligence, Networked Systems and Their Applications (eBook, PDF)

International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Shanghai, China, September 2014, Proceedings, Part ¿
Redaktion: Fei, Minrui; Han, Qinglong; Song, Yang; Su, Zhou; Peng, Chen

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 588
• Erscheinungstermin: 1. Oktober 2014
• Englisch
• ISBN-13: 9783662452615
• Artikelnr.: 44130352

Autorenporträt

Song Yang has been providing SAP consulting services since 1998. He is experienced in personnel administration, payroll, benefit and compensation. He has successfully supported many customers in Asia and North America. Song Yang is also recognized as an expert in Basis and ABAP. He joined BearingPoint Inc. as a senior consultant in early 2005. Before that, he served Atos Origin Inc. and Siemens Business Services as a senior consultant.

Inhaltsangabe

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.