Dynamic Systems and Dynamic Classification Problems in Geophysical Applications: Data and Knowledge in a Changing World
Autor Jacques Octave Dubois, Alexei Gvishianien Limba Engleză Paperback – 20 iul 2012
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Specificații
ISBN-13: 9783642499531
ISBN-10: 3642499538
Pagini: 276
Ilustrații: XII, 259 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:Softcover reprint of the original 1st ed. 1998
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Data and Knowledge in a Changing World
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642499538
Pagini: 276
Ilustrații: XII, 259 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:Softcover reprint of the original 1st ed. 1998
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Data and Knowledge in a Changing World
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
1 Why the Techniques Developed in this Book are Important? (A Few Examples of Applications).- I Foundations.- 2 Basic Mathematical Facts.- II Dynamic Pattern Recognition Problems and Control over Classification Reliabity.- 3 “Voting by a Set of Features” Algorithms.- 4 Dynamic and Limit Classification Problems.- 5 Dual Systems of Sets and Local Stability of Classification.- 6 Investigation of Earthquake-prone Areas as a Limit Pattern Recognition Problem.- 7 Control Experiments for Evaluating Classification Reliability.- III Dynamic Systems.- 8 Basic Definitions and Facts.- 9 Geometry of Attractors.- 10 Bifurcation, Cascades and Chaos.- 11 Self Organisation.- 12 Multifractals.- IV Convex Programming and Systems of Rigid Blocks with Deformable Layers.- 13 Systems of Rigid Blocks with Thin Deformable Layers (SRBTDL).- 14 System of Rigid and Deformable Blocks (SRDB).- V Bibliography.- VI Index.- Colour Plates.
Textul de pe ultima copertă
The book contains two main parts dealing both with nonlinear approaches in the study of complex natural systems. In its first part it introduces a new construction of pattern recognition problems applicable to a wide range of geophysical and environmental objects. The classification in such problems depends on time which allows one to formulate the condition of stability of final classifications for verification of its reliability. A new wide set of pattern recognition algorithms with learning ("Voting by Set of Features") is introduced. Theoretical and algorithmical parts are illustrated by some examples of applications to natural hazard assessment.
In the second part of the book, an alternative approach to the geophysical applications is given in terms of dynamic systems and corresponding tools. Dynamic systems studies are useful to understand nonlinear time series. Self Organized Criticality and multifractal analysis are powerful new keys for understanding many natural phenomena. All these methods are of great interest in any long data file processing.
In the second part of the book, an alternative approach to the geophysical applications is given in terms of dynamic systems and corresponding tools. Dynamic systems studies are useful to understand nonlinear time series. Self Organized Criticality and multifractal analysis are powerful new keys for understanding many natural phenomena. All these methods are of great interest in any long data file processing.