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Books on the topic 'Non-Linear modeling'

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Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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1

Schleer-van Gellecom, Frauke, ed. Advances in Non-linear Economic Modeling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-42039-9.

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2

Holambe, Raghunath S. Advances in Non-Linear Modeling for Speech Processing. Boston, MA: Springer US, 2012.

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3

Holambe, Raghunath S., and Mangesh S. Deshpande. Advances in Non-Linear Modeling for Speech Processing. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1505-3.

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4

Taleghani, Barmac K. Non-linear finite element modeling of Thunder piezoelectric actuators. Hampton, VA: National Aeronautics and Space Administration, Langley Research Center, 1999.

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5

Sanchez-Fung, Jose R. Non-linear modeling of daily exchange rate returns, volatility, and 'news' in a small developing economy. Kingston upon Thames: Kingston University, Faculty of Arts and Social Sciences, 1999.

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6

Berezin, I︠U︡ A. Modelling non-linear wave processes. Utrecht, The Netherlands: VNU Science Press, 1987.

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7

Chen, S. Modelling and analysis of non-linear time series. Sheffield: University of Sheffield, Dept. of Control Engineering, 1989.

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8

Ross, C. T. F., 1935-, ed. Incremental finite element modelling in non-linear solid mechanics. Chichester: Ellis Horwood, 1988.

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9

Kleiber, Michał. Incremental finite element modelling in non-linear solid mechanics. Chichester, West Sussex, England: E. Horwood, 1989.

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10

Chen, S. Neural networks for non-linear dynamic system modelling and identification. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1991.

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11

1948-, Vandewalle J., and Moor, Bart L. R. de, 1960-, eds. Artificial neural networks for modelling and control of non-linear systems. Boston: Kluwer Academic Publishers, 1996.

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12

Suykens, Johan A. K., Joos P. L. Vandewalle, and Bart L. R. De Moor. Artificial Neural Networks for Modelling and Control of Non-Linear Systems. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2493-6.

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13

Suykens, Johan A. K. Artificial Neural Networks for Modelling and Control of Non-Linear Systems. Boston, MA: Springer US, 1996.

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14

Isemin, Etiene James. Mathematical modelling and design analysis of non-linear flow systems for ablution. Birmingham: University of Birmingham, 2001.

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15

Timo, Teräsvirta, ed. Modelling nonlinear economic relationships. Oxford [England]: Oxford University Press, 1993.

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16

1959-, Castillo Oscar, ed. Modelling, simulation and control of non-linear dynamical systems: An intelligent approach using soft computing and fractal theory. London: Taylor & Francis, 2002.

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17

1958-, Marshall Stephen, Harvey Neal 1966-, and Shah Druti 1966-, eds. Noblesse Workshop on Non-linear Model Based Image Analysis: Proceedings, NMBIA, 1-3 July 1998, Glasgow. London: Springer, 1998.

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18

Nudo, Raffaele, ed. Lezioni dai terremoti: fonti di vulnerabilità, nuove strategie progettuali, sviluppi normativi. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-072-3.

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This book is a collection of the academic contributions presented at the conference entitled "Lessons from earthquakes: sources of vulnerability, new design strategies and regulatory developments" which was held at Chianciano Terme on 8 October 2010. The issues addressed are central to Seismic Engineering and comprise a wide range of arguments on both consolidated subjects and innovative aspects in the sector. Among these, appropriate attention is devoted to: analysis of the structural instability revealed on the occasion of seismic events and the lessons that can be drawn from the same; the procedures of assessment of the existing buildings, starting from the phase of monitoring and diagnostics through to the definition of the most opportune intervention techniques; the use of composite materials and alternative methods of seismic protection; non-linear field modelling relating to regular and non-regular structures; and finally, the development of the methods of calculation that have characterised the evolution of the regulatory codes.

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19

Bhatti, M. Ishaq. Non-Nested Regression Models: UK ed. edition. Hauppauge, New York, USA: Nova Science Publishers Inc, 2013.

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20

Awang, Mokhtar, Ehsan Mohammadpour, and Ibrahim Dauda Muhammad. Finite Element Modeling of Nanotube Structures: Linear and Non-linear Models. Springer, 2015.

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21

Awang, Mokhtar, Ehsan Mohammadpour, and Ibrahim Dauda Muhammad. Finite Element Modeling of Nanotube Structures: Linear and Non-linear Models. Springer, 2016.

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22

Awang, Mokhtar, Ehsan Mohammadpour, and Ibrahim Dauda Muhammad. Finite Element Modeling of Nanotube Structures: Linear and Non-Linear Models. Springer, 2015.

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23

Melin, Patricia, and Oscar Castillo. Modeling, Simulation & Control of Non-linear Dynamical Systems. Gordon & Breach Publishing Group, 2001.

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24

Non-linear finite element modeling of THUNDER piezoelectric actuators. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.

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25

F, Campbell Joel, and Langley Research Center, eds. Non-linear finite element modeling of THUNDER piezoelectric actuators. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.

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26

Gellecom, Frauke Schleer-Van. Advances in Non-Linear Economic Modeling: Theory and Applications. Springer Berlin / Heidelberg, 2016.

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27

Krenk, Steen. Non-Linear Modeling and Analysis of Solids and Structures. Cambridge University Press, 2009.

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28

Gellecom, Frauke Schleer-van. Advances in Non-Linear Economic Modeling: Theory and Applications. Springer London, Limited, 2013.

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29

Krenk, Steen. Non-Linear Modeling and Analysis of Solids and Structures. Cambridge University Press, 2009.

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30

Advances in Non-linear Economic Modeling: Theory and Applications. Springer, 2013.

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31

Krenk, Steen. Non-Linear Modeling and Analysis of Solids and Structures. Cambridge University Press, 2009.

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32

Krenk, Steen. Non-Linear Modeling and Analysis of Solids and Structures. Cambridge University Press, 2012.

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33

National Aeronautics and Space Administration (NASA) Staff. Non-Linear Finite Element Modeling of Thunder Piezoelectric Actuators. Independently Published, 2018.

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34

Rajagopal, K. R., and Clifford Truesdell. Non-linear Fluid Dynamics (Modeling and Simulation in Science, Engineering and Technology). Birkhauser Verlag AG, 1999.

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35

Soufian, Majeed. Hard and soft computing techniques for non-linear modeling and control with industrial applications. 2003.

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36

Mechanical characterization and modeling of non-linear deformation and fracture of a fiber reinforced metal matrix composite. [Cleveland, Ohio?]: National Aeronautics and Space Administration, Lewis Research Center, 1991.

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37

National Aeronautics and Space Administration (NASA) Staff. Mechanical Characterization and Modeling of Non-Linear Deformation and Fracture of a Fiber Reinforced Metal Matrix Composite. Independently Published, 2018.

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38

Gimblett, H. Randy. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195143362.001.0001.

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This volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modelling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors, and successes in applying such algorithms, had not been adequately reported in the literature. This book seeks to serve as the standard guide to this broad area.

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39

(Editor), A. J. Fossard, and D. Normand-Cyrot (Editor), eds. Nonlinear Systems: Volume 1: Modeling and Estimation Volume 2: Stability and Stabilization Volume 3: Control (Non-Linear Systems, Vol 2). Springer, 1996.

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40

Non-Linear Modeling of the Impact of the Crisis on the Interactions among Financial Markets and Macroeconomic Variables in CEE Countries. Nova Science Publishers, Incorporated, 2016.

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41

Optimization in Economics and Finance: Some Advances in Non-Linear, Dynamic, Multi-Criteria and Stochastic Models (Dynamic Modeling and Econometrics in Economics and Finance). Springer, 2005.

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42

Berezin, You Z. Modelling Non-Linear Wave Processes. Brill Academic Publishers, 1987.

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43

Modelling Non-linear Wave Processes. Brill Academic Publishers, 1987.

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44

Albu, Lucian. Non-Linear Modelling in Economics: Beyond Standard Economics. Romanian Institute of Orthodox Theology and Spirituality, 2012.

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45

Artificial Neural Networks for Modelling and Control of Non-Linear Systems. Springer My Copy UK, 1995.

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46

Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71116-2.

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47

Talbot, Hugues, and Richard Beare. Mathematical Morphology. CSIRO Publishing, 2002. http://dx.doi.org/10.1071/9780643107342.

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Mathematical morphology is a powerful methodology for processing and analysing the shape and form of objects in images. The advances in this area of science allow for application in the digital recognition and modeling of faces and other objects by computers. Mathematical Morphology is comprehensive work that provides a broad sampling of the most recent theoretical and practical developments in applications to image processing and analysis. Subject areas covered include: binary morphology, regularised region growing, morphological scale-space techniques, levelings, reconstruction, modeling and simulation, and applications as diverse as medicine, forestry and geology. This fascinating research will be of great interest to engineers, computer scientists, mathematicians and statisticians whose research work is focussed on the theoretical and practical aspects of non-linear image processing and analysis. The content stems from the proceedings of the VIth International Symposium on Mathematical Morphology, held April 3–5, 2002 in Sydney, Australia.

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48

Modelling Nonlinear Economic Relationships. Oxford, England: Oxford University Press, 1997.

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49

Blakelock, Philip Alec. Scale modelling and computer non-linear analysis of a Schottky Barrier structure at 35 GHz. 1989.

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50

Witczak, Marcin. Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches. Springer London, Limited, 2007.

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