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Intelligent Computing Systems: Emerging Application Areas: Studies in Computational Intelligence, cartea 627

Editat de George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain
en Limba Engleză Paperback – 30 mar 2018
This book at hand explores emerging scientific and technological areas in which Intelligent Computing Systems provide efficient solutions and, thus, may play a role in the years to come. It demonstrates how Intelligent Computing Systems make use of computational methodologies that mimic nature-inspired processes to address real world problems of high complexity for which exact mathematical solutions, based on physical and statistical modelling, are intractable. Common intelligent computational methodologies are presented including artificial neural networks, evolutionary computation, genetic algorithms, artificial immune systems, fuzzy logic, swarm intelligence, artificial life, virtual worlds and hybrid methodologies based on combinations of the previous.The book will be useful to researchers, practitioners and graduate students dealing with mathematically-intractable problems. It is intended for both the expert/researcher in the field of Intelligent Computing Systems, as well as for the general reader in the fields of Artificial and Computational Intelligence who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.
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Specificații

ISBN-13: 9783662569900
ISBN-10: 3662569906
Ilustrații: X, 368 p. 144 illus., 124 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.53 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

Editorial.- Semantic tools; Their <use for Knowledge Management in the Public Sector.- Semantic Tools; Their Use for Knowledge Management in the Public Sector.- A Semantic Approach for Representing and Querying Business Processes.- Using Conversational Knowledge Management as a Lens for Virtual Collaboration in the Course of Small Group Activities.- Spatial Environments for m-learning: Review and Potentials.- Science Teachers’ Metaphors of Digital Technologies and Social Media in Pedagogy in Finland and in Greece.- Data Driven Monitoring of Energy Systems: Gaussian Process Kernel Machines for Fault Identification with Application to Boiling Water Reactors.- A Framework to Assess the Behavior and Performance of a City Towards Energy Optimization.- An Energy Management Platform for Smart Microgrids.- Transit Journaling and Traffic Sensitive Routing for a Mixed Mode Public Transportation System.- Adaptation of Automatic Information Extraction Method for Environmental Heatmaps to U-matrices of Self Organising Maps.- Evolutionary Computing and Genetic Algorithms: Paradigm Applications in 3D Printing Process Optimization.- Sotirios Spanogianopoulos and Konstantinos Sirlantzis.- Computing a Similarity Coefficient for Mining Massive Data Sets.- A Probe Guided Crossover Operator for More Efficient Exploration of the Search Space.

Recenzii

“The book demonstrates the large span of information and communications technology (ICT) as enabling novel solutions on the one hand and the variety of application areas and approaches that are relevant to them on the other. It combines a vast variety of topics that can pertain to a large audience. … this book will be of interest to scholars and programmers interested in the subject matter areas of the individual chapters.” (Mariana Damova, Computing Reviews, December, 2016)

Textul de pe ultima copertă

This book at hand explores emerging scientific and technological areas in which Intelligent Computing Systems provide efficient solutions and, thus, may play a role in the years to come. It demonstrates how Intelligent Computing Systems make use of computational methodologies that mimic nature-inspired processes to address real world problems of high complexity for which exact mathematical solutions, based on physical and statistical modelling, are intractable. Common intelligent computational methodologies are presented including artificial neural networks, evolutionary computation, genetic algorithms, artificial immune systems, fuzzy logic, swarm intelligence, artificial life, virtual worlds and hybrid methodologies based on combinations of the previous.The book will be useful to researchers, practitioners and graduate students dealing with mathematically-intractable problems. It is intended for both the expert/researcher in the field of Intelligent Computing Systems, as well as for the general reader in the fields of Artificial and Computational Intelligence who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.

Caracteristici

Latest research on Knowledge Engineering Paradigms and their practical applications Presents theory and successful applications of Knowledge Engineering Paradigms in areas including business, science, engineering and health Written by leading experts in the field Includes supplementary material: sn.pub/extras