Computational Models of Complex Systems: Intelligent Systems Reference Library, cartea 53
Editat de Vijay Kumar Mago, Vahid Dabbaghianen Limba Engleză Hardback – 13 noi 2013
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Specificații
ISBN-13: 9783319012841
ISBN-10: 3319012843
Pagini: 210
Ilustrații: X, 196 p. 85 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.47 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
ISBN-10: 3319012843
Pagini: 210
Ilustrații: X, 196 p. 85 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.47 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Computational Models of Complex Systems: An Introduction.- Kabbalah Mathematical System Theoretic Models of Knowledge Based and Behavioral Economics and Finance.- The Commodity Exporting Country: A Spectral Analysis of Brazilian and Australian Financial Markets.- Probabilistic European country risk score forecasting using an epidemiological mathematical model .- Determining the ‘fault zone’ of fall events in Long Term Care.- Artificial Neural Network Based Approach for Classification of Child Disability.- Evaluating video and facial muscle activity for a better assistive technology: a silent speech-based HCl.- Modelling Replace/Repair Criteria for Returned Biomedical Devices in a Lean Manufacturing Environment.- A complex system approach for spatial modeling of land-use change and settlement growth in early agricultural societies.- City System Vulnerability and Resilience: Oscillatory Dynamics of Urban Hierarchies.- Introducing the Terrorism and Extremism Network Extractor.- Sampling Emerging Threats in Facebook using Bio-inspired Strategies (Random Walks).
Textul de pe ultima copertă
Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resources. This is made possible by assuming parameter(s) in a bounded environment, allowing for controllable experimentation, not always possible in live scenarios. For example, simulation of computational models allows the testing of theories in a manner that is both fundamentally deductive and experimental in nature. The main ingredients for such research ideas come from multiple disciplines and the importance of interdisciplinary research is well recognized by the scientific community. This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems. We hope that the readers will have stimulating experiences to pursue research in these directions.
Caracteristici
Presents Computational Models of Complex Systems Dedicated to computational modelling as a research tool when investigating complex systems Dedicated to Dr. Peter Borwein for his contribution to research and education on his 60th birthday Includes supplementary material: sn.pub/extras