Thinking Machines - Neural Networks And Hardware Implementation, Takano, Shigeyuki
Автор: Ferrie Chris, Kaiser Sarah Название: Neural Networks for Babies ISBN: 1492671207 ISBN-13(EAN): 9781492671206 Издательство: Неизвестно Рейтинг: Цена: 1266.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Help your future genius become the smartest baby in the room by introducing them to neural networks with the next installment of the Baby University board book series!
Автор: Mona E. Zaghloul; Jack L. Meador; Robert W. Newcom Название: Silicon Implementation of Pulse Coded Neural Networks ISBN: 1461361524 ISBN-13(EAN): 9781461361527 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: When confronted with the hows and whys of nature`s computational engines, some prefer to focus upon neural function: addressing issues of neural system behavior and its relation to natural intelligence.
Описание: Modern computing systems preserve all information in intricate binary codes. The evolution of systems and technologies that aid in this preservation process must be continually assessed to ensure that they are keeping up with the demands of society. Formation Methods, Models, and Hardware Implementation of Pseudorandom Number Generators: Emerging Research and Opportunities is a crucial scholarly resource that examines the current methodologies used in number generator construction, and how they pertain to the overall advancement of contemporary computer systems. Featuring coverage on relevant topics such as cellular automata theory, inhomogeneous cells, and sequence generators, this publication is ideal for software engineers, computer programmers, academicians, students, and researchers that are interested in staying abreast of innovative trends within the computer engineering field.
Автор: Horia-Nicolai Teodorescu; Abraham Kandel Название: Hardware Implementation of Intelligent Systems ISBN: 3790824917 ISBN-13(EAN): 9783790824919 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intelligent systems are now being used more commonly than in the past. These involve cognitive, evolving and artificial-life, robotic, and decision- making systems, to name a few. Due to the tremendous speed of development, on both fundamental and technological levels, it is virtually impossible to offer an up-to-date, yet comprehensive overview of this field. Nevertheless, the need for a volume presenting recent developments and trends in this domain is huge, and the demand for such a volume is continually increasing in industrial and academic engineering 1 communities. Although there are a few volumes devoted to similar issues, none offer a comprehensive coverage of the field; moreover they risk rapidly becoming obsolete. The editors of this volume cannot pretend to fill such a large gap. However, it is the editors' intention to fill a significant part of this gap. A comprehensive coverage of the field should include topics such as neural networks, fuzzy systems, neuro-fuzzy systems, genetic algorithms, evolvable hardware, cellular automata-based systems, and various types of artificial life-system implementations, including autonomous robots. In this volume, we have focused on the first five topics listed above. The volume is composed of four parts, each part being divided into chapters, with the exception of part 4. In Part 1, the topics of "Evolvable Hardware and GAs" are addressed. In Chapter 1, "Automated Design Synthesis and Partitioning for Adaptive Reconfigurable Hardware", Ranga Vemuri and co-authors present state-of-the-art adaptive architectures, their classification, and their applications.
Автор: Mona E. Zaghloul; Jack L. Meador; Robert W. Newcom Название: Silicon Implementation of Pulse Coded Neural Networks ISBN: 0792394496 ISBN-13(EAN): 9780792394495 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents state-of-the-art research results which address conventional abstract notions of neural-like processing, as well as the more specific details of neural-like processors. The text seeks to cover many of the relevant contemporary studies coming out of this newly emerging area.
Описание: By the end of the decade, approximately 50 billion devices will be connected over the internet using multiple services such as online gaming, ultra-high definition videos, and 5G mobile services. The associated data traffic demand in both fixed and mobile networks is increasing dramatically, causing network operators to have to migrate the existing optical networks towards next-generation solutions. The main challenge within this development stems from network operators having difficulties finding cost-effective next-generation optical network solutions that can match future high capacity demand in terms of data, reach, and the number of subscribers to support multiple network services on a common network infrastructure. Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities is an essential reference source that discusses the next generation of high capacity passive optical access networks (PON) in terms of design, implementation, and analysis and offers a complete reference of technology solutions for next-generation optical networks. Featuring research on topics such as artificial intelligence, electromagnetic interface, and wireless communication, this book is ideally designed for researchers, engineers, scientists, and students interested in understanding, designing, and analyzing the next generation of optical networks.
Автор: Kuhn Michael Название: Manual for the Implementation of Neural Networks in MATLAB ISBN: 3656451567 ISBN-13(EAN): 9783656451563 Издательство: Неизвестно Рейтинг: Цена: 10846.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bachelor Thesis from the year 2005 in the subject Business economics - Information Management, grade: 2,0, Neisse University Gцrlitz (Neisse University), language: English, abstract: This bachelor thesis presents a manual about the implementation of neural networks in the software environment MATLAB. The thesis can be divided into four parts. After an introduction into the thesis, the theoretical background of neural networks and MATLAB is explained in two chapters. The third part is the description how to implement networks in a general way and with examples, too. The manual is created for the "Master Course of Computer Studies" at the University of Applied Science Zittau/Gцrlitz. Due to the fact, that this manual is a bachelor thesis just a small theoretical and practical overview about neural networks can be given.
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