Neural Networks

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781732976030Author Lance EliotFormat PaperbackPage Count 252Imprint R. R. BowkerPublisher R. R. BowkerWeight(grams) 372g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781733249898Author Lance EliotFormat PaperbackPage Count 268Imprint R. R. BowkerPublisher R. R. BowkerWeight(grams) 152g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781734601664Author Lance EliotFormat PaperbackPage Count 230Imprint Lbe Press PublishingPublisher Lbe Press PublishingWeight(grams) 313g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781734601671Author Lance EliotFormat PaperbackPage Count 236Imprint Lbe Press PublishingPublisher Lbe Press PublishingWeight(grams) 322gDimensions(mm) 229mm...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781733249874Author Lance EliotFormat PaperbackPage Count 256Imprint R. R. BowkerPublisher R. R. BowkerWeight(grams) 381gDimensions(mm) 229mm * 152mm * 15mm

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788119177967Author Matthew RoschFormat PaperbackPage Count 240Imprint GitforGitsPublisher GitforGits

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781732976023Author Lance EliotFormat PaperbackPage Count 242Imprint Bowker Identifier ServicesPublisher Bowker Identifier ServicesWeight(grams) 358g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780692131978Author Lance EliotFormat PaperbackPage Count 270Imprint Lbe Press PublishingPublisher Lbe Press PublishingWeight(grams) 399g

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Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780692157602Author Lance B EliotFormat PaperbackPage Count 236Imprint Lbe Press PublishingPublisher Lbe Press PublishingWeight(grams) 349gDimensions(mm)...

This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT...

In this book, the authors present topical research in the study of the architectures and modelling in neurocomputing. Topics discussed include a brain-computer interface for analysing investment behaviour and market stability; neural-based image...

Fuzzy logic principles, practices, and real-world applicationsThis hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in...

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set...

The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022.  The 213 papers presented in the...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780750340229Author Shajulin BenedictFormat HardbackPage Count 250Imprint Institute of Physics PublishingPublisher Institute of Physics...

A Research-Driven Resource on Building Biochemical Systems to Perform Information Processing Functions Information Processing by Biochemical Systems describes fully delineated biochemical systems, organized as neural network-type assemblies. It explains...

Accelerators for Convolutional Neural Networks Comprehensive and thorough resource exploring different types of convolutional neural networks and complementary accelerators Accelerators for Convolutional Neural Networks provides basic deep learning...

This book covers the hot topics and applications surrounding complex-valued neural networks. It demonstrates advanced theories with a wide range of applications, including optoelectronics systems, imaging systems, and remote sensing systems. The text...

"Companies and research labs worldwide are racing to develop Dense Wavelength Division Multiplexing (DWDM) technology, a far-reaching advancement in the fiber optical communications field. To help you keep pace with these latest developments, this...

Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully organized state-of-the-art textbook. Previously tested at a number of noteworthy conference tutorials, the...

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume...

This volume collects together most of the papers presented at the Twelfth Neural Computation and Psychology Workshop (NCPW12) held in 2010 at Birkbeck College (England). The conference invited submissions on neurocomputational models of all cognitive and...

The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists...

This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual...

Space-time array communications have gained a great deal of interest in recent years. Its superior performance in practical multipath propagation environments has established it as a core aspect in next generation mobile networks, as well as several...

The book provides a comprehensive treatment of combinatorial development of heterogeneous catalysts. In particular, two computer-aided approaches that have played a key role in combinatorial catalysis and high-throughput experimentation during the last...

Neural Nets and Chaotic Carriers develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evident in biological neural systems, and necessitated by...

This comprehensive compendium designs deep neural network models and systems for intelligent analysis of fundus imaging. In response to several blinding fundus diseases such as Retinopathy of Prematurity (ROP), Diabetic Retinopathy (DR) and Macular Edema...

Innovative examination of augmentation technologies in terms of technical, social, and ethical considerations Usable as a supplemental text for a variety of courses, and also of interest to researchers and professionals in fields including: technical...

Deep learning has achieved impressive results in image classification, computer vision, and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resources...

More frequent and complex cyber threats require robust, automated, and rapid responses from cyber-security specialists. This book offers a complete study in the area of graph learning in cyber, emphasizing graph neural networks (GNNs) and their...

Entropy Randomization in Machine Learning presents a new approach to machine learning - entropy randomization - to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine learning procedures...

Describes the theoretical and practical aspects of finite-time ZNN methods for solving an array of computational problems Zeroing Neural Networks (ZNN) have become essential tools for solving discretized sensor-driven time-varying matrix problems in...

DEMYSTIFYING DEEP LEARNING Discover how to train Deep Learning models by learning how to build real Deep Learning software libraries and verification software! The study of Deep Learning and Artificial Neural Networks (ANN) is a significant subfield of...

This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts.Key Features: Guides you...

The comprehensive compendium furnishes a quick and efficient entry point to many multiresolution techniques and facilitates the transition from an idea into a real project. It focuses on methods combining several soft computing techniques (fuzzy logic,...

This book offers a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature-inspired algorithms. Their wide applicability makes them a hot research topic and an effi cient tool for the solution of complex...

More frequent and complex cyber threats require robust, automated, and rapid responses from cyber-security specialists. This book offers a complete study in the area of graph learning in cyber, emphasizing graph neural networks (GNNs) and their...

At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision on the basis of cognitive modeling. After recalling the physics of light and its transformation through media and...