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Hardcover/Hardback. Condition: As New. Orden Svyatogo Georgiya yavlyalsya vysshej nagradoj Rossijskoj imperii, zhaluemoj za bezuprechnuyu voennuyu sluzhbu i vydayushchiesya podvigi na polyakh srazhenij. Nastoyashchaya kniga posvyashchena yarkim epizodam voennoj istorii Rossii XIX - nachala XX vv. i rasskazyvaet o zhiznennom puti i voinskoj sluzhbe ofitserov i generalov russkoj imperatorskoj armii azerbajdzhanskogo proiskhozhdeniya - kavalerov ordena Svyatogo Georgiya.V knige privedena statistika nagrazhdeniya ordenom Svyatogo Georgiya i Zolotym oruzhiem s nadpisyu 'za khrabrost' Georgievskim oruzhiem, dany obzor i kharakteristika dorevolyutsionnykh i sovremennykh spravochnykh izdanij, posvyashchennykh kavaleram ordena, a takzhe predstavleny spiski musulman - kavalerov ordena Svyatogo Georgiya.E. Ismailovu udalos vosstanovit mnogie neizvestnye imena georgievskikh kavalerov-azerbajdzhantsev, vyyavit ikh biograficheskie dannye. V chisle takikh otkrytij mozhno nazvat ochen interesnye biografii majora Aliambara Vizirova i generala Ibragim-aga Usubova, generalov Gasan-beka Agalarova i Nejmatulla-beka Gajdarova pervyj ofitser musulmanskogo veroispovedaniya - kavaler 3-j stepeni etogo ordena, polkovnika Borisa Bek-Sofieva do sikh por mnogie sovremennye issledovateli schitali ego osetinom po proiskhozhdeniyu i generala printsa Fazulla-Mirzy Kadzhara i mnogikh drugikh.Nauchnyj trud Eldara Ismailova opiraetsya na nadezhnuyu istochnikovuyu bazu. Avtor ispolzoval vse dorevolyutsionnye i sovremennye spravochnye izdaniya, posvyashchennye kavaleram ordena Sv. Georgiya i Zolotogo oruzhiya s nadpisyu 'za khrabrost', dal ikh obzor i kharakteristiku, predstavil statistiku nagrazhdeniya ordenom Sv. Georgiya i Zolotym oruzhiem vposledstvii poluchivshim nazvanie Georgievskogo. Pri podgotovke rukopisi aktivno ispolzovalis arkhivnye dokumenty, vospominaniya ochevidtsev, sokhranivshiesya polkovye istorii, imeyushchiesya genealogicheskie trudy, chto pozvolilo E. Ismailovu ne tolko maksimalno podrobno prosledit sluzhbu, boevoj put vydayushchikhsya lyudej, no i obogatit knigu otzyvami sovremennikov, mnogimi zhivopisnymi detalyami. V biografii kazhdogo geroya otrazheny vazhnejshie istoricheskie sobytiya, zhizn togo vremeni vo vsem mnogoobrazii, predstavleny traditsii nashikh narodov.Znachitelnyj interes dlya chitatelya predstavlyayut takzhe privedennye v knige svedeniya ob azerbajdzhanskikh voinskikh formirovaniyakh v rossijskoj armii, v chastnosti, o Zakavkazskom konno-musulmanskom polku ego istoriya vpervye osveshchena tak podrobno i Tatarskom konnom polku Kavkazskoj tuzemnoj konnoj divizii, ob ikh boevom puti.
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Paperback. Condition: New. Recent years have witnessed a growth of interest in the special functions called ridge functions. These functions appear in various fields and under various guises. They appear in partial differential equations (where they are called plane waves), in computerized tomography, and in statistics. Ridge functions are also the underpinnings of many central models in neural network theory. In this book various approximation theoretic properties of ridge functions are described. This book also describes properties of generalized ridge functions, and their relation to linear superpositions and Kolmogorov's famous superposition theorem. In the final part of the book, a single and two hidden layer neural networks are discussed. The results obtained in this part are based on properties of ordinary and generalized ridge functions. Novel aspects of the universal approximation property of feedforward neural networks are revealed.This book will be of interest to advanced graduate students and researchers working in functional analysis, approximation theory, and the theory of real functions, and will be of particular interest to those wishing to learn more about neural network theory and applications and other areas where ridge functions are used.
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Paperback. Condition: new. Paperback. Recent years have witnessed a growth of interest in the special functions called ridge functions. These functions appear in various fields and under various guises. They appear in partial differential equations (where they are called plane waves), in computerized tomography, and in statistics. Ridge functions are also the underpinnings of many central models in neural network theory. In this book various approximation theoretic properties of ridge functions are described. This book also describes properties of generalized ridge functions, and their relation to linear superpositions and Kolmogorov's famous superposition theorem. In the final part of the book, a single and two hidden layer neural networks are discussed. The results obtained in this part are based on properties of ordinary and generalized ridge functions. Novel aspects of the universal approximation property of feedforward neural networks are revealed.This book will be of interest to advanced graduate students and researchers working in functional analysis, approximation theory, and the theory of real functions, and will be of particular interest to those wishing to learn more about neural network theory and applications and other areas where ridge functions are used. Describes various approximation theoretic properties of ridge functions. The book also discusses properties of generalized ridge functions, and their relation to linear superpositions and Kolmogorov's famous superposition theorem. In the final part of the book, a single and two hidden layer neural networks are discussed. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 1470467658 ISBN 13: 9781470467654
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Paperback. Condition: New. Recent years have witnessed a growth of interest in the special functions called ridge functions. These functions appear in various fields and under various guises. They appear in partial differential equations (where they are called plane waves), in computerized tomography, and in statistics. Ridge functions are also the underpinnings of many central models in neural network theory. In this book various approximation theoretic properties of ridge functions are described. This book also describes properties of generalized ridge functions, and their relation to linear superpositions and Kolmogorov's famous superposition theorem. In the final part of the book, a single and two hidden layer neural networks are discussed. The results obtained in this part are based on properties of ordinary and generalized ridge functions. Novel aspects of the universal approximation property of feedforward neural networks are revealed.This book will be of interest to advanced graduate students and researchers working in functional analysis, approximation theory, and the theory of real functions, and will be of particular interest to those wishing to learn more about neural network theory and applications and other areas where ridge functions are used.
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Published by American Mathematical Society, Providence, 2022
ISBN 10: 1470467658 ISBN 13: 9781470467654
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Paperback. Condition: new. Paperback. Recent years have witnessed a growth of interest in the special functions called ridge functions. These functions appear in various fields and under various guises. They appear in partial differential equations (where they are called plane waves), in computerized tomography, and in statistics. Ridge functions are also the underpinnings of many central models in neural network theory. In this book various approximation theoretic properties of ridge functions are described. This book also describes properties of generalized ridge functions, and their relation to linear superpositions and Kolmogorov's famous superposition theorem. In the final part of the book, a single and two hidden layer neural networks are discussed. The results obtained in this part are based on properties of ordinary and generalized ridge functions. Novel aspects of the universal approximation property of feedforward neural networks are revealed.This book will be of interest to advanced graduate students and researchers working in functional analysis, approximation theory, and the theory of real functions, and will be of particular interest to those wishing to learn more about neural network theory and applications and other areas where ridge functions are used. Describes various approximation theoretic properties of ridge functions. The book also discusses properties of generalized ridge functions, and their relation to linear superpositions and Kolmogorov's famous superposition theorem. In the final part of the book, a single and two hidden layer neural networks are discussed. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.