Concurrent Learning and Information Processing

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Alan F. Murray

Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'. For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.

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Lyman Chapin

Communication Systems: The State of the Art captures the depth and breadth of the field of communication systems: -Architectures and Protocols for Distributed Systems; -Network and Internetwork Architectures; -Performance of Communication Systems; -Internet Applications Engineering; -Management of Networks and Distributed Systems; -Smart Networks; -Wireless Communications; -Communication Systems for Developing Countries; -Photonic Networking; -Communication Systems in Electronic Commerce. This volume's scope and authority present a rare opportunity for people in many different fields to gain a practical understanding of where the leading edge in communication systems lies today-and where it will be tomorrow.

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Gregory Vert, S. Sitharama Iyengar, Vir V. Phoha

"Develops a Comprehensive, Global Model for Contextually Based Processing Systems A new perspective on global information systems operation Helping to advance a valuable paradigm shift in the next generation and processing of knowledge, Introduction to Contextual Processing: Theory and Applications provides a comprehensive model for constructing a contextually based processing system. It explores the components of this system, the interactions of the components, key mathematical foundations behind the model, and new concepts necessary for operating the system.After defining the key dimensions of a model for contextual processing, the book discusses how data is used to develop a semantic model for contexts as well as language-driven context-specific processing actions. It then applies rigorous mathematical methods to contexts, examines basic sensor data fusion theory and applies it to the contextual fusion of information, and describes the means to distribute contextual information. The authors also illustrate a new type of data repository model to manage contextual data, before concluding with the requirements of contextual security in a global environment.This seminal work presents an integrated framework for the design and operation of the next generation of IT processing. It guides the way for developing advanced IT systems and offers new models and concepts that can support advanced semantic web and cloud computing capabilities at a global scale"-- "Helping to advance a valuable paradigm shift in the next generation and processing of knowledge, this seminal work provides a comprehensive model for constructing a contextually based processing system that can support advanced semantic web and cloud computing capabilities at a global scale. It explores the components of this system, the interactions of the components, key mathematical foundations behind the model, and new concepts necessary for operating the system. The book also describes numerous cutting-edge applications and research directions of contextual processing and offers novel methods for addressing the producer-consumer problem"--

Sample

Jim Jubak

A book about science and metaphors ; about how to build a computer ; and a book about how a technology called neural networks is changing the way we think about machines, computers, brains and minds.