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Higher-Order Networks, Ginestra Bianconi


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Автор: Ginestra Bianconi
Название:  Higher-Order Networks
ISBN: 9781108726733
Издательство: Cambridge Academ
Классификация:
ISBN-10: 1108726739
Обложка/Формат: Paperback
Страницы: 75
Вес: 0.21 кг.
Дата издания: 23.12.2021
Серия: Elements in structure and dynamics of complex networks
Язык: English
Издание: New ed
Иллюстрации: Worked examples or exercises
Размер: 24.41 x 16.99 x 3.53 cm
Читательская аудитория: General (us: trade)
Ключевые слова: Discrete mathematics,Mathematical physics,Maths for computer scientists,Statistical physics, SCIENCE / Physics / Mathematical & Computational
Подзаголовок: An introduction to simplicial complexes
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This Element presents one of the most recent developments in network science in a highly accessible style. This Element will be of interest to interdisciplinary scientists working in network science, in addition to mathematicians working in discrete topology and geometry and physicists working in quantum gravity.


Networks 2e hardback

Автор: Newman, Mark E. J. (anatol Rapoport Distinguished
Название: Networks 2e hardback
ISBN: 0198805098 ISBN-13(EAN): 9780198805090
Издательство: Oxford Academ
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Цена: 12912.00 р.
Наличие на складе: Ожидается поступление.

Описание: This book brings together recent advances and presents a comprehensive picture of the scientific study of networks. It includes discussion of computer networks, social networks, biological networks, and others, and an introduction to the mathematics of network theory, including analysis techniques, computer algorithms, and network modeling.

VLSI Artificial Neural Networks Engineering

Автор: Mohamed I. Elmasry
Название: VLSI Artificial Neural Networks Engineering
ISBN: 146136194X ISBN-13(EAN): 9781461361947
Издательство: Springer
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Цена: 18294.00 р.
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Описание: Engineers have long been fascinated by how efficient and how fast biological neural networks are capable of performing such complex tasks as recognition. Since then, the field of VLSI Artificial Neural Networks (ANNs) have witnessed an exponential growth and a new engineering discipline was born.

Computer Networks

Автор: Piotr Gaj; Andrzej Kwiecie?; Micha? Sawicki
Название: Computer Networks
ISBN: 3319597663 ISBN-13(EAN): 9783319597669
Издательство: Springer
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Цена: 9756.00 р.
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Описание: This book constitutes the thoroughly refereed proceedings of the 24th International Conference on Computer Networks, CN 2017, held in Brunow, Poland, in June 2017. The 35 full papers presented were carefully reviewed and selected from 80 submissions. They are dealing with the topics computer networks; teleinformatics and telecommunications;

Nonlinear workbook, the: chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden markov models fuzzy logic with c++, java and symbolicc++ programs (3rd edition)

Автор: Steeb Willi-Hans
Название: Nonlinear workbook, the: chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden markov models fuzzy logic with c++, java and symbolicc++ programs (3rd edition)
ISBN: 9812562788 ISBN-13(EAN): 9789812562784
Издательство: World Scientific Publishing
Цена: 18216.00 р.
Наличие на складе: Поставка под заказ.

Описание: The study of nonlinear dynamical systems has advanced tremendously in the last 20 years, making a big impact on science and technology. This book provides all the techniques and methods used in nonlinear dynamics. The concepts and underlying mathematics are discussed in detail. The numerical and symbolic methods are implemented in C++, SymbolicC++ and Java. Object-oriented techniques are also applied. The book contains more than 150 ready-to-run programs. The text has also been designed for a one-year course at both the junior and senior levels in nonlinear dynamics. The topics discussed in the book are part of e-learning and distance learning courses conducted by the International School for Scientific Computing.

VLSI — Compatible Implementations for Artificial Neural Networks

Автор: Sied Mehdi Fakhraie; Kenneth C. Smith
Название: VLSI — Compatible Implementations for Artificial Neural Networks
ISBN: 1461378974 ISBN-13(EAN): 9781461378976
Издательство: Springer
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Цена: 12196.00 р.
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Описание: This book introduces several state-of-the-art VLSI implementations of artificial neural networks (ANNs). The work of Professors Fakhraie and Smith, presented in this book, is a welcome addition to the state-of-the-art and will greatly benefit researchers and students working in this area.

Predictive Modular Neural Networks

Автор: Vassilios Petridis; Athanasios Kehagias
Название: Predictive Modular Neural Networks
ISBN: 1461375401 ISBN-13(EAN): 9781461375401
Издательство: Springer
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Цена: 12196.00 р.
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Описание: The subject of this book is predictive modular neural networks and their ap- plication to time series problems: classification, prediction and identification.

Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models

Автор: Jan Treur
Название: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models
ISBN: 3030314448 ISBN-13(EAN): 9783030314446
Издательство: Springer
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Цена: 12196.00 р.
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Описание: Moreover, because adaptive networks are described in a network format as well, the approach can simply be applied iteratively, so that higher-order adaptive networks in which network adaptation itself is adaptive (second-order adaptation), too can be modeled just as easily.

Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models

Автор: Treur Jan
Название: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models
ISBN: 3030314472 ISBN-13(EAN): 9783030314477
Издательство: Springer
Цена: 12196.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Moreover, because adaptive networks are described in a network format as well, the approach can simply be applied iteratively, so that higher-order adaptive networks in which network adaptation itself is adaptive (second-order adaptation), too can be modeled just as easily.

Human Face Recognition Using Third-Order Synthetic Neural Networks

Автор: Okechukwu A. Uwechue; Abhijit S. Pandya
Название: Human Face Recognition Using Third-Order Synthetic Neural Networks
ISBN: 1461368324 ISBN-13(EAN): 9781461368328
Издательство: Springer
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Цена: 18294.00 р.
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Описание: Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns.

The Geometry of Higher-Order Lagrange Spaces

Автор: R. Miron
Название: The Geometry of Higher-Order Lagrange Spaces
ISBN: 9048147891 ISBN-13(EAN): 9789048147892
Издательство: Springer
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Цена: 26467.00 р.
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Описание: This monograph is mostly devoted to the problem of the geome- trizing of Lagrangians which depend on higher order accelerations. It naturally prolongs the theme of the monograph "The Geometry of La- grange spaces: Theory and Applications," written together with M. Anastasiei and published by Kluwer Academic Publishers in 1994. The existence of Lagrangians of order k > 1 has been contemplated by mechanicists and physicists for a long time. Einstein had grasped their presence in connection with the Brownian motion. They are also present in relativistic theories based on metrics which depend on speeds and accelerations of particles or in the Hamiltonian formulation of non- linear systems given by Korteweg-de Vries equations. There resulted from here the methods to be adopted in their theoretical treatment. One is based on the variational problem involving the integral action of the Lagrangian. A second one is derived from the axioms of Analytical Mechanics involving the Poincare-Cartan forms. The geometrical methods based on the study of the geometries of higher order could invigorate the whole theory. This is the way adopted by us in defining and studying the Lagrange spaces of higher order. The problems raised by the geometrization of Lagrangians of order k > 1 investigated by many scholars: Ch. Ehresmann, P. Libermann, J. Pommaret; J.T. Synge, M. Crampin, P. Saunders; G.S. Asanov, P.Aringazin; I. Kolar, D. Krupka; M. de Leon, W. Sarlet, P. Cantrjin, H. Rund, W.M. Tulczyjew, A. Kawaguchi, K. Yano, K. Kondo, D.

QCD Higher-Order Effects and Search for New Physics

Автор: Wang Jian
Название: QCD Higher-Order Effects and Search for New Physics
ISBN: 3662569477 ISBN-13(EAN): 9783662569474
Издательство: Springer
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Цена: 12196.00 р.
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Описание: This book mainly investigates the precision predictions on the signal of new physics at the Large Hadron Collider (LHC) in the perturbative Quantum Chromodynamics (QCD) scheme. The potential of the LHC to discover the signal of dark matter associated production with a photon is studied after including next-to-leading order QCD corrections.

Calculus for Cognitive Scientists: Higher Order Models and Their Analysis

Автор: Peterson James K.
Название: Calculus for Cognitive Scientists: Higher Order Models and Their Analysis
ISBN: 981135720X ISBN-13(EAN): 9789811357206
Издательство: Springer
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Цена: 28065.00 р.
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Описание: This book offers a self-study program on how mathematics, computer science and science can be profitably and seamlessly intertwined. This book focuses on two variable ODE models, both linear and nonlinear, and highlights theoretical and computational tools using MATLAB to explain their solutions.


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