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Showing 1 - 6 of 6 matches in All Departments

Computational Intelligence for Optimization (Hardcover, 1997 ed.): Nirwan Ansari, Edwin Hou Computational Intelligence for Optimization (Hardcover, 1997 ed.)
Nirwan Ansari, Edwin Hou
R3,014 Discovery Miles 30 140 Ships in 10 - 15 working days

The field of optimization is interdisciplinary in nature, and has been making a significant impact on many disciplines. As a result, it is an indispensable tool for many practitioners in various fields. Conventional optimization techniques have been well established and widely published in many excellent textbooks. However, there are new techniques, such as neural networks, simulated anneal ing, stochastic machines, mean field theory, and genetic algorithms, which have been proven to be effective in solving global optimization problems. This book is intended to provide a technical description on the state-of-the-art development in advanced optimization techniques, specifically heuristic search, neural networks, simulated annealing, stochastic machines, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementa tion, and practical applications. The text is suitable for a first-year graduate course in electrical and computer engineering, computer science, and opera tional research programs. It may also be used as a reference for practicing engineers, scientists, operational researchers, and other specialists. This book is an outgrowth of a couple of special topic courses that we have been teaching for the past five years. In addition, it includes many results from our inter disciplinary research on the topic. The aforementioned advanced optimization techniques have received increasing attention over the last decade, but relatively few books have been produced."

Neural Networks in Telecommunications (Hardcover, 1994 ed.): Ben Yuhas, Nirwan Ansari Neural Networks in Telecommunications (Hardcover, 1994 ed.)
Ben Yuhas, Nirwan Ansari
R8,505 Discovery Miles 85 050 Ships in 10 - 15 working days

Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media. The chapters focus on specific applications, describe specific solutions and demonstrate the benefits that neural networks can provide. By doing this, the authors demonstrate that neural networks should be another tool in the telecommunications engineer's toolbox. Neural networks offer the computational power of nonlinear techniques, while providing a natural path to efficient massively-parallel hardware implementations. In addition, the ability of neural networks to learn allows them to be used on problems where straightforward heuristic or rule-based solutions do not exist. Together these capabilities mean that neural networks offer unique solutions to problems in telecommunications. For engineers and managers in telecommunications, Neural Networks in Telecommunications provides a single point of access to the work being done by leading researchers in this field, and furnishes an in-depth description of neural network applications.

Media Access Control and Resource Allocation - For Next Generation Passive Optical Networks (Paperback, 2013 ed.): Nirwan... Media Access Control and Resource Allocation - For Next Generation Passive Optical Networks (Paperback, 2013 ed.)
Nirwan Ansari, Jingjing Zhang
R1,848 Discovery Miles 18 480 Ships in 10 - 15 working days

This book focuses on various Passive optical networks (PONs) types, including currently deployed Ethernet PON (EPON) and Gigabit PON (GPON) as well as next generation WDM PON and OFDM PON. Also this book examines the integrated optical and wireless access networks. Concentrating on two issues in these networks: media access control (MAC) and resource allocation. These two problems can greatly affect performances of PONs such as network resource utilization and QoS of end users. Finally this book will discuss various solutions to address the MAC and resource allocation issues in various PON networks.

Computational Intelligence for Optimization (Paperback, Softcover reprint of the original 1st ed. 1997): Nirwan Ansari, Edwin... Computational Intelligence for Optimization (Paperback, Softcover reprint of the original 1st ed. 1997)
Nirwan Ansari, Edwin Hou
R2,858 Discovery Miles 28 580 Ships in 10 - 15 working days

The field of optimization is interdisciplinary in nature, and has been making a significant impact on many disciplines. As a result, it is an indispensable tool for many practitioners in various fields. Conventional optimization techniques have been well established and widely published in many excellent textbooks. However, there are new techniques, such as neural networks, simulated anneal ing, stochastic machines, mean field theory, and genetic algorithms, which have been proven to be effective in solving global optimization problems. This book is intended to provide a technical description on the state-of-the-art development in advanced optimization techniques, specifically heuristic search, neural networks, simulated annealing, stochastic machines, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementa tion, and practical applications. The text is suitable for a first-year graduate course in electrical and computer engineering, computer science, and opera tional research programs. It may also be used as a reference for practicing engineers, scientists, operational researchers, and other specialists. This book is an outgrowth of a couple of special topic courses that we have been teaching for the past five years. In addition, it includes many results from our inter disciplinary research on the topic. The aforementioned advanced optimization techniques have received increasing attention over the last decade, but relatively few books have been produced.

Neural Networks in Telecommunications (Paperback, Softcover reprint of the original 1st ed. 1994): Ben Yuhas, Nirwan Ansari Neural Networks in Telecommunications (Paperback, Softcover reprint of the original 1st ed. 1994)
Ben Yuhas, Nirwan Ansari
R8,309 Discovery Miles 83 090 Ships in 10 - 15 working days

Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media. The chapters focus on specific applications, describe specific solutions and demonstrate the benefits that neural networks can provide. By doing this, the authors demonstrate that neural networks should be another tool in the telecommunications engineer's toolbox. Neural networks offer the computational power of nonlinear techniques, while providing a natural path to efficient massively-parallel hardware implementations. In addition, the ability of neural networks to learn allows them to be used on problems where straightforward heuristic or rule-based solutions do not exist. Together these capabilities mean that neural networks offer unique solutions to problems in telecommunications. For engineers and managers in telecommunications, Neural Networks in Telecommunications provides a single point of access to the work being done by leading researchers in this field, and furnishes an in-depth description of neural network applications.

Sensor Networks - 9th International Conference, SENSORNETS 2020, Valletta, Malta, February 28-29, 2020, and 10th International... Sensor Networks - 9th International Conference, SENSORNETS 2020, Valletta, Malta, February 28-29, 2020, and 10th International Conference, SENSORNETS 2021, Virtual Event, February 9-10, 2021, Revised Selected Papers (Paperback, 1st ed. 2022)
Andreas Ahrens, Ranga Rao Venkatesha Prasad, Cesar Benavente-Peces, Nirwan Ansari
R1,485 Discovery Miles 14 850 Ships in 10 - 15 working days

This book constitutes selected and revised papers of the 9th International Conference, SENSORNETS 2020, Valletta, Malta, held in February 2020, and the 10th International Conference, SENSORNETS 2021, held virtually in February 2021. The 7 full papers presented were carefully reviewed and selected from 60 submissions. They focus in all aspects of sensor networks, including hardware of sensor networks, wireless communication protocols, sensor networks software, hardware and architectures, wireless information networks, channel characterization, data manipulation, signal processing, localization and object tracking through sensor networks, modelling and simulation, applications and uses.

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