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Titlebook: Dynamic Systems and Dynamic Classification Problems in Geophysical Applications; Jacques Octave Dubois,Alexei Gvishiani Book 1998 Springer

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書(shū)目名稱Dynamic Systems and Dynamic Classification Problems in Geophysical Applications
編輯Jacques Octave Dubois,Alexei Gvishiani
視頻videohttp://file.papertrans.cn/284/283785/283785.mp4
叢書(shū)名稱Data and Knowledge in a Changing World
圖書(shū)封面Titlebook: Dynamic Systems and Dynamic Classification Problems in Geophysical Applications;  Jacques Octave Dubois,Alexei Gvishiani Book 1998 Springer
描述This book is the latest volume in the series entitled " Data and Knowledge in a Changing World ", published by the Committee on Data for Science and Technology (CODATA) of the International Council of Scientific Unions (Icsu). This series was established to collect together, from many diverse fields, the wealth of information pertaining t.o the intelligent exploitation of data in the conduct of science and technology. This volume is the first in a two-volume series that will discuss techniques for the analysis of natural dynamic systems, and their applications to a variety of geophysical problems. The present volume lays out the theoretical foun- dations for these techniques. The second volume will use these techniques in applications to fields such as seismology, geodynamics, geoelectricity, ge- omagnetism, aeromagnetics, topography and bathymetry. The book consists of two parts, which describe two complementary ap- proaches to the analysis of natural systems. The first, written by A. Gvishi- ani, deals with dynamic pattern recognition. It lays out the mathematical VI Foreword theory and the formalized algorithms that. forms the basis for the classifi- cation of vector objects and
出版日期Book 1998
關(guān)鍵詞Environmental modeling; Scientific data; Umweltmodellierung; Wissenschaftliche Daten; classification; ear
版次1
doihttps://doi.org/10.1007/978-3-642-49951-7
isbn_softcover978-3-642-49953-1
isbn_ebook978-3-642-49951-7Series ISSN 1431-2107
issn_series 1431-2107
copyrightSpringer-Verlag Berlin Heidelberg 1998
The information of publication is updating

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Dynamic Systems and Dynamic Classification Problems in Geophysical Applications
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地板
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Dynamic and Limit Classification Problemsme dependent. This fact gives an opportunity to formulate the condition of stability, which allows to restrict a set of classifications under consideration [79, 85, 87]. Thus, we obtain a new instrument to make the right choice of solution of a recognition problem among the set of classifications ob
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Dual Systems of Sets and Local Stability of Classificationome stable with time. Thus, a natural question arrises: how probable is it that a given unstable prediction will become stabilized in the future? In this chapter we try to answer this question. To do so we use the notion of . introduced in [86].
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Investigation of Earthquake-prone Areas as a Limit Pattern Recognition Problem book of this series. The application considered here is the determination of strongly earthquake-prone areas and is one of the classical examples of a concrete application of classification pattern-recognition techniques [2, 7, 24, 28, 31, 51, 56, 66, 67, 73, 79, 93, 105, 144, 166].
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Control Experiments for Evaluating Classification Reliability random learning material generated in a way that is analogous to the real one [82]. To realize this approach, we need to formalize the recognition procedure. In other words we need to construct an algorithm . which models the recognition procedure .*(.) described above and which, automatically, giv
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Basic Definitions and Factspproach described in the previous part of the book deals with a search of deterministic and statistic roots in the sets of data under investigation to discover some expected features of the actual geophysical process. On the other hand, the dynamic systems approach introduced in this part of the boo
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