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Book Optical Neural Networks

    Book Details:
  • Author : Cornelia Denz
  • Publisher : Springer Science & Business Media
  • Release : 2013-11-11
  • ISBN : 3663122727
  • Pages : 467 pages

Download or read book Optical Neural Networks written by Cornelia Denz and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the next years neural networks and systems amenable to instructions will extend their influence in science and technology. A prominent point of interest in this field is assigned to optical networks: they are small and flexible, and due to their ability of parallel processing they are devoted to the construction of small systems. This monograph explains the fundamentals of optical neural networks to physicists, engineers and device constructors.

Book Artificial Neural Networks

Download or read book Artificial Neural Networks written by Kevin L. Priddy and published by SPIE Press. This book was released on 2005 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial text provides the reader with an understanding of artificial neural networks (ANNs), and their application, beginning with the biological systems which inspired them, through the learning methods that have been developed, and the data collection processes, to the many ways ANNs are being used today. The material is presented with a minimum of math (although the mathematical details are included in the appendices for interested readers), and with a maximum of hands-on experience. All specialized terms are included in a glossary. The result is a highly readable text that will teach the engineer the guiding principles necessary to use and apply artificial neural networks.

Book Optical Neural Networks

Download or read book Optical Neural Networks written by Khurram Mehdi and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Selected Papers on Optical Neural Networks

Download or read book Selected Papers on Optical Neural Networks written by Suganda Jutamulia and published by SPIE-International Society for Optical Engineering. This book was released on 1994 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Optical Memory   Neural Networks  94

Download or read book Optical Memory Neural Networks 94 written by Andrei L. Mikaelian and published by . This book was released on 1994 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Photonic Reservoir Computing

    Book Details:
  • Author : Daniel Brunner
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2019-07-08
  • ISBN : 3110582112
  • Pages : 391 pages

Download or read book Photonic Reservoir Computing written by Daniel Brunner and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-07-08 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips.

Book Neuromorphic Photonics

    Book Details:
  • Author : Paul R. Prucnal
  • Publisher : CRC Press
  • Release : 2017-05-08
  • ISBN : 1498725244
  • Pages : 412 pages

Download or read book Neuromorphic Photonics written by Paul R. Prucnal and published by CRC Press. This book was released on 2017-05-08 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.

Book Semiconductor Optical Amplifiers

Download or read book Semiconductor Optical Amplifiers written by Michael J. Connelly and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The semiconductor optical amplifier has emerged as an important component in many optical fibre communication, switching and signal processing systems. This invaluable information source provides a comprehensive and detailed treatment of the design and applications of SOAs.

Book Optical Neural Networks for Process Control

Download or read book Optical Neural Networks for Process Control written by Henry John Caulfield and published by . This book was released on 1989 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Computation  Learning  and Architectures

Download or read book Computation Learning and Architectures written by and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Optical Neural Networks for Associative Image Processing

Download or read book Optical Neural Networks for Associative Image Processing written by Richard Englund and published by . This book was released on 1995 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Optical Signal Processing  Computing  and Neural Networks

Download or read book Optical Signal Processing Computing and Neural Networks written by Frances T. S. Yu and published by Wiley-Interscience. This book was released on 1992-11-19 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, optical computing and optical neural networks research has enriched the field originally known as optical signal processing. Optical Signal Processing, Computing, and Neural Networks is a self-contained textbook that offers an introductory survey which examines photonics, linear and nonlinear signal processing, and numerical, symbolic, and neural computing. This comprehensive sourcebook is a basic text for students who lack an intensive background in optic, electromagnetic, computer, and neural network theories. It will also serve as a working reference for optical physicists and engineers involved in current research and development of modern optical signal processing that includes optical computing and neural networks. The first chapter of this book contains the basic coherent theory and concepts of optical transformation. The second chapter introduces the fundamental concept of optical signal processing and its architectures. The third chapter presents selected applications in coherent optics while the fourth chapter discusses white-light processing and its applications. The advances of spatial-light modulators are discussed as well as hybrid-optical architectures using spatial-light modulators in later chapters. Applications of photorefractive crystals in optical signal processing are presented in chapter 7. Digital-optical computing is described in chapter 8 while optical neural networks and their architectures, designs, and models are thoroughly covered in chapter 9. Examples and experimental results are included throughout the book to emphasize the concepts. Chapters include problem sets, 330 throughout, that reinforce key elements in the text.

Book Neural and Optical Neural Networks

Download or read book Neural and Optical Neural Networks written by Kenneth L. Sala and published by . This book was released on 1991 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Landmark Papers on Photorefractive Nonlinear Optics

Download or read book Landmark Papers on Photorefractive Nonlinear Optics written by Pochi Yeh and published by World Scientific. This book was released on 1995 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, intended for students, researchers and engineers, is a collection of classic papers on photorefractive nonlinear optics. Included are landmark papers on fundamental photorefractive phenomena, two-wave mixing, four-wave mixing, phase conjugators and resonators, material growth and physics, and applications in image processing, optical storage and optical computing.

Book Neural Network Models for Optical Computing

Download or read book Neural Network Models for Optical Computing written by Society of Photo-optical Instrumentation Engineers and published by . This book was released on 1988 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Optics for AI and AI for Optics

Download or read book Optics for AI and AI for Optics written by Jinlong Wei and published by MDPI. This book was released on 2020-06-23 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is deeply involved in our daily lives via reinforcing the digital transformation of modern economies and infrastructure. It relies on powerful computing clusters, which face bottlenecks of power consumption for both data transmission and intensive computing. Meanwhile, optics (especially optical communications, which underpin today’s telecommunications) is penetrating short-reach connections down to the chip level, thus meeting with AI technology and creating numerous opportunities. This book is about the marriage of optics and AI and how each part can benefit from the other. Optics facilitates on-chip neural networks based on fast optical computing and energy-efficient interconnects and communications. On the other hand, AI enables efficient tools to address the challenges of today’s optical communication networks, which behave in an increasingly complex manner. The book collects contributions from pioneering researchers from both academy and industry to discuss the challenges and solutions in each of the respective fields.