Complex Networks

This is the first book that discusses neural networks in the context of nonparametric regression and classification, within the Bayesian paradigm. It considers neural networks in a statistical context

Scientists rely on food webs—complex networks that trace the flow of nutrients and energy between species and through ecosystems—to understand the infrastructure of ecological communities.But given th

Scientists rely on food webs—complex networks that trace the flow of nutrients and energy between species and through ecosystems—to understand the infrastructure of ecological communities.But given th

Polymeric Liquids and Networks: Structure and Properties is the first book of two by William W. Graessley that presents a unified view of flexible-chain polymer liquids and networks. The topics of bot

In this first environmental history of the gold rush, Kathryn Morse describes how the miners got to the Klondike, the mining technologies they employed, and the complex networks by which they obtaine

Focusing on routing protocols and medium access control techniques for mobile ad hoc networks, this book examines mobility, location management, paging, and radio resources for cellular networks. It

While more and more data is shifted from circuit-switched to packet-switched networks, the users of these networks expect a smooth, continuously unproblematic service (unrelated to the amount of data

The organization of individuals into networks and groups is of fundamental importance in many social and economic interactions. Examples range from networks of personal contacts used to obtain informa

Ethernet Networks, Fourth Edition, provides everything you need to know to plan, implement, manage and upgrade Ethernet networks.* Improve your skills in employing Ethernet hubs, switches, and routers

Optical networks, undersea networks, GSM, UMTS…The recent explosion in broadband communications technologies has opened a new world of fast, flexible services and applications. To successfully impleme

Data Communications and Networks uses a top-down, Internet-focussed approach to tackle the problem of communication system design. An integrated approach is taken to networks and data communications,

The book provides an introduction to complex analysis for students with some familiarity with complex numbers from high school. The first part comprises the basic core of a course in complex analysis

This book introduces the concepts and state-of-the-art research developments of resource management in real-time systems and networks. Real-time systems and networks are of increasing importance in

The Wiley Polymer Networks Group Review Series Volume 2 Synthetic versus Biological Networks Edited by B. T. Stokke and A. Elgsaeter The Norwegian University of Science and Technology, Trondheim, Norw

Networks in the Global Village examines how people live through personal communities: their networks of friends, neighbors, relatives, and coworkers. It is the first book to compare the communities of

As paradoxical as it sounds, one of the toughest problems facing many of today's most successful companies is success itself. Like living organisms, companies are complex networks of interdependent sy

The distributed coding hypothesis --the view that complex cognitive functions such as visual perception or memory formation are the work of large networks of neurons in areas of the cerebral cortex --

Recent advances in motor behaviour research rely on detailed knowledge of the characteristics of the neurons and networks that generate motor behaviour. At the cellular level, neurons, networks, and m

Networks of Innovation offers an historical perspective on the manner in which private-sector organizations have acquired, sustained, and periodically lost the ability to develop, manufacture, and market new serum antitoxins and vaccines. The primary focus is on the H. K. Mulford Company, on Sharp and Dohme, which acquired Mulford in 1929, and upon Merck & Co Inc., which merged with Sharp and Dohme in 1953. By surveying a century of innovation in biologicals, the authors are able to analyze the conditions that either promoted or prevented creative changes in this important industry. They show how the activities of these three commercial enterprises were related to a series of complex, evolving networks of scientific, governmental, and medical institutions in the United States and abroad. This is the first such history to draw exclusively on sources internal to Merck, one of the world's leading innovators in modern vaccines and pharmaceuticals.

This book describes the signal processing aspects of neural networks. It begins with a presentation of the necessary background material in electronic circuits, mathematical modeling and analysis, signal processing, and neurosciences, and then proceeds to applications. These applications include small networks of neurons, such as those used in control of warm-up and flight in moths and control of respiration during exercise in humans. Next, a theory of mnemonic surfaces is developed and studied and material on pattern formation and cellular automata is presented. Finally, large networks are studied, such as the thalamus-reticular complex circuit, believed to be involved in focusing attention, and the development of connections in the visual cortex. Additional material is also provided about nonlinear wave propagation in networks. This book will serve as an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine and life scie

This book describes the signal processing aspects of neural networks. It begins with a presentation of the necessary background material in electronic circuits, mathematical modeling and analysis, signal processing, and neurosciences, and then proceeds to applications. These applications include small networks of neurons, such as those used in control of warm-up and flight in moths and control of respiration during exercise in humans. Next, a theory of mnemonic surfaces is developed and studied and material on pattern formation and cellular automata is presented. Finally, large networks are studied, such as the thalamus-reticular complex circuit, believed to be involved in focusing attention, and the development of connections in the visual cortex. Additional material is also provided about nonlinear wave propagation in networks. This book will serve as an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine and life scie

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than s

Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems a

Most of us would consider the emergence of large-scale communication networks to be a 20th century phenomenon. Yet, the first nationwide data networks were built not in this century but almost 200 yea

Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks add

As the analysis of social networks, or networks of interpersonal and social relationships among social groups, has become an increasingly important method of research in several of the social and behavioural sciences, the gathering of network data has outpaced the development of new methods for its analysis. Addressing the need for analytical tools, Philippa Pattison presents a number of algebraic models for the analysis of network data, explaining in the process the rationale for an algebraic approach. Models are developed for both complete networks, meaning those representing the social ties between all pairs of members in a given group, and local networks, meaning those structured around the social ties of one particular group member. Many applications are presented and the ways that these methods can address a number of important issues confronting network analysis are explained.

This book presents the salient features of the general theory of infinite electrical networks in a coherent exposition. Using the basic tools of functional analysis and graph theory, the author examines the fundamental developments in the field and discusses applications to other areas of mathematics. The first half of the book presents existence and uniqueness theorems for both infinite-power and finite-power voltage-current regimes, and the second half discusses methods for solving problems in infinite cascades and grids. A notable feature is the invention of transfinite networks, roughly analogous to Cantor's extension of the natural numbers to the transfinite ordinals. The last chapter is a survey of application to exterior problems of partial differential equations, random walks on infinite graphs, and networks of operators on Hilbert spaces.

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

In this ambitious new study, Sophie Brockmann argues that interactions with landscape and environment were central to the construction of Central American identities in the Age of Enlightenment. She argues that new intellectual connections and novel ways of understanding landscapes had a transformative impact on political culture, as patriotic reformers sought to improve the region's fortunes by applying scientific and 'useful' knowledge gathered from local and global networks to the land. These reformers established networks that extended into the countryside and far beyond Central America's borders. Tracing these networks and following the bureaucrats, priests, labourers, merchants and scholars within them, Brockmann shows how they made a lasting impact by defining a new place for the natural world in narratives of nation and progress.

The contemporary landscape of transnational political economy is dominated by networks. Public and private networks, and networks that combine public and private actors, cross borders, exert regulatory power and their activities often harm third parties. However, tort law as a traditional source of remediation for third party harms appears impotent when faced with the problem of regulating the 'society of networks'. This book, using a systems theory framework, retraces the emergence of tort law in modernity and highlights how two models of normative ascription - personal responsibility and organizational liability - have come to shape existing tort law's ambivalence towards network phenomena. This book breaks new ground by leaving behind the national law 'frame of reference', drawing on the conceptual promise of EU law to develop a concept of 'network responsibility' for a network society and lays the foundations of a tort law for the 21st century.

This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in

The Genetic Analysis of Complex Disease provides a comprehensive introduction to the various strategies, designs, and methods of analysis for the study of human complex genetic disease. Chapt

In many systems consisting of interacting subsystems, the complex interactions between elements can be represented using multilayer networks. However percolation, key to understanding connectivity and robustness, is not trivially generalised to multiple layers. This Element describes a generalisation of percolation to multilayer networks: weak multiplex percolation. A node belongs to a connected component if at least one of its neighbours in each layer is in this component. The authors fully describe the critical phenomena of this process. In two layers with finite second moments of the degree distributions the authors observe an unusual continuous transition with quadratic growth above the threshold. When the second moments diverge, the singularity is determined by the asymptotics of the degree distributions, creating a rich set of critical behaviours. In three or more layers the authors find a discontinuous hybrid transition which persists even in highly heterogeneous degree distribu

Business operations in large organizations today involve massive, interactive, and layered networks of teams and personnel collaborating across hierarchies and countries on complex tasks. To optimize productivity, businesses need to know: what communication patterns do high-performing teams have in common? Is it possible to predict a team's performance before it starts work on a project? How can productive team behavior be fostered? This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in the emerging field of network science of teams. Focusing on the underlying social network structure, the authors present models and algorithms characterizing, predicting, optimizing, and explaining team performance, along with key applications, open challenges, and future trends.

The scholarship and teaching of manuscript studies has been transformed by digitisation, rendering previously rarefied documents accessible for study on a vast scale. The Cambridge Companion to Medieval British Manuscripts orientates students in the complex, multidisciplinary study of medieval book production and contemporary display of manuscripts from c.600–1500. Accessible explanations draw on key case studies to illustrate the major methodologies and explain why skills in understanding early book production are so critical for reading, editing, and accessing a rich cultural heritage. Chapters by leading specialists in manuscript studies range from explaining how manuscripts were stored, to revealing the complex networks of readers and writers which can be understood through manuscripts, to an in depth discussion on the Wycliffite Bible.

The scholarship and teaching of manuscript studies has been transformed by digitisation, rendering previously rarefied documents accessible for study on a vast scale. The Cambridge Companion to Medieval British Manuscripts orientates students in the complex, multidisciplinary study of medieval book production and contemporary display of manuscripts from c.600–1500. Accessible explanations draw on key case studies to illustrate the major methodologies and explain why skills in understanding early book production are so critical for reading, editing, and accessing a rich cultural heritage. Chapters by leading specialists in manuscript studies range from explaining how manuscripts were stored, to revealing the complex networks of readers and writers which can be understood through manuscripts, to an in depth discussion on the Wycliffite Bible.

Oil and gas industries apply several techniques for assessing and mitigating the risks that are inherent in its operations. In this context, the application of Bayesian Networks (BNs) to risk assessme

Network and Connections in Legal History examines networks of lawyers, legislators and litigators, and how they shaped legal development in Britain and the world. It explores how particular networks of lawyers - from Scotland to East Florida and India - shaped the culture of the forums in which they operated, and how personal connections could be crucial in pressuring the legislature to institute reform - as with twentieth century feminist campaigns. It explores the transmission of legal ideas; what happened to those ideas was not predetermined, but when new connections were made, they could assume a new life. In some cases, new thinkers made intellectual connections not previously conceived, in others it was the new purposes to which ideas and practices were applied which made them adapt. This book shows how networks and connections between people and places have shaped the way that legal ideas and practices are transmitted across time and space.

In this ambitious new study, Sophie Brockmann argues that interactions with landscape and environment were central to the construction of Central American identities in the Age of Enlightenment. She argues that new intellectual connections and novel ways of understanding landscapes had a transformative impact on political culture, as patriotic reformers sought to improve the region's fortunes by applying scientific and 'useful' knowledge gathered from local and global networks to the land. These reformers established networks that extended into the countryside and far beyond Central America's borders. Tracing these networks and following the bureaucrats, priests, labourers, merchants and scholars within them, Brockmann shows how they made a lasting impact by defining a new place for the natural world in narratives of nation and progress.

This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples.