Intelligent Computing for Sustainable Energy and Environment

Second International Conference, ICSEE 2012, Shanghai, China, September 12-13, 2012. Revised Selected Papers

AvKang Li,Shaoyuan Li

Häftad, Engelska, 2013

Del i serien Communications in Computer and Information Science

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Beskrivning

This book constitutes the refereed proceedings of the Second International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2012, held in Shanghai, China, in September 2012. The 60 full papers presented were carefully reviewed and selected from numerous submissions and present theories and methodologies as well as the emerging applications of intelligent computing in sustainable energy and environment.

Produktinformation

Utgivningsdatum:2013-04-11
Mått:155 x 235 x 31 mm
Vikt:861 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:560
Upplaga:2013
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783642371042

Utforska kategorier

Miljövetenskap och miljöpolitik inom Naturvetenskap och teknik
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Study on Controlling Power Quality Based on Thermodynamics Modeling Method for 6.3kV Power System.- Recursive Model Predictive Control for Fast Varying Dynamic Systems.- Distributed Optimization and State Based Ordinal Potential Games.- Assessment of Texaco Syngas Components Using Extreme Learning Machine Based Quantum Neural Network.- Stochastic Gradient Algorithm for Hammerstein Systems with Piece-Wise Linearities.- Optimization of Train Energy-Efficient Operation Using Simulated Annealing Algorithm.- Artificial Cobweb Intelligent Routing Algorithm for Low-Voltage Power Line Communication.- Material Identification of Particles in Space-Borne Electronic Equipments Based on Principal Component Analysis.- Research and Application of Multiple Model Predictive Control in Ultra-supercritical Boiler-Turbine System.- A Decision Support Framework for Collision Avoidance of Unmanned Maritime Vehicles.