Networks 2e hardback, Newman, Mark E. J. (anatol Rapoport Distinguished
Старое издание
Автор: Newman, Mark Название: Networks: An Introduction ISBN: 0199206651 ISBN-13(EAN): 9780199206650 Издательство: Oxford Academ Цена: 7760.00 р. Наличие на складе: Поставка под заказ. Описание: This book brings together advances in mathematics, physics, computer science, biology and social network analysis to present a comprehensive picture of the scientific study of networks. The book includes discussion of computer networks, social networks, biological networks, and others, and an introduction to the mathematics of network theory.
Автор: Tiziano Squartini; Diego Garlaschelli Название: Maximum-Entropy Networks ISBN: 3319694367 ISBN-13(EAN): 9783319694368 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A final chapter offers various overarching remarks and take-home messages.By requiring no prior knowledge of network theory, the book targets a broad audience ranging from PhD students approaching these topics for the first time to senior researchers interested in the application of advanced network techniques to their field.
Автор: Caldarelli, Guido; Chessa, Alessandro Название: Data Science and Complex Networks ISBN: 0199639604 ISBN-13(EAN): 9780199639601 Издательство: Oxford Academ Рейтинг: Цена: 9187.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book guides the reader in the analysis of big-data by providing theoretical and practical instruments to tame the complexity of such systems. Together with support provided by the companion website, it constitutes a simple and useful handbook for data analysts.
Автор: Newman, Mark Название: Networks: An Introduction ISBN: 0199206651 ISBN-13(EAN): 9780199206650 Издательство: Oxford Academ Рейтинг: Цена: 7760.00 р. Наличие на складе: Поставка под заказ.
Описание: This book brings together advances in mathematics, physics, computer science, biology and social network analysis to present a comprehensive picture of the scientific study of networks. The book includes discussion of computer networks, social networks, biological networks, and others, and an introduction to the mathematics of network theory.
Автор: Estrada, Ernesto Название: The Structure of Complex Networks ISBN: 019959175X ISBN-13(EAN): 9780199591756 Издательство: Oxford Academ Рейтинг: Цена: 12038.00 р. Наличие на складе: Поставка под заказ.
Описание: The book integrates approaches from mathematics, physics and computer sciences to analyse the organisation of complex networks. Every organisational principle of networks is defined, quantified and then analysed for its influences on the properties and functions of molecular, biological, ecological and social networks.
Автор: Caldarelli, Guido; Catanzaro, Michele Название: Networks: A Very Short Introduction ISBN: 0199588074 ISBN-13(EAN): 9780199588077 Издательство: Oxford Education Рейтинг: Цена: от 1138.00 р. Наличие на складе: Есть
Описание: Networks are involved in many aspects of everyday life, from food webs in ecology and the spread of pandemics to social networking and public transport. This Very Short Introduction explores the basics of network theory to understand the science of complexity and its importance, using examples from nature, technology, and society, and history.
Автор: Schwenker Название: Artificial Neural Networks in Pattern Recognition ISBN: 3319461818 ISBN-13(EAN): 9783319461816 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016.
Автор: Commendatore Название: Complex Networks and Dynamics ISBN: 3319408011 ISBN-13(EAN): 9783319408019 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume sheds light on the current state of complex networks and nonlinear dynamics applied to the understanding of economic and social phenomena ranging from geographical economics to macroeconomics and finance, and its purpose is to give readers an overview of several interesting topics for research at an intermediate level. Three different and interdisciplinary, but complementary, aspects of networks are put together in a single piece, namely: (i) complex networks theory, (ii) applied network analysis to social and economic interrelations, and (iii) dynamical evolution of systems and networks. The volume includes contributions from excellent scholars in economics and social sciences as well as leading experts in the fields of complex networks and nonlinear dynamics.
This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality.
It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules.
Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.
Автор: Nikolay Nikolaev; Hitoshi Iba Название: Adaptive Learning of Polynomial Networks ISBN: 144194060X ISBN-13(EAN): 9781441940605 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data.
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