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.
Download or read book Handbook of Neural Computation written by Emile Fiesler and published by CRC Press. This book was released on 2020-01-15 with total page 1129 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl
Download or read book Handbook of Neural Computing Applications written by Alianna J. Maren and published by Academic Press. This book was released on 2014-05-10 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Other papers deal with specific neural network types, and also on selecting, configuring, and implementing neural networks. Other papers address specific applications including neurocontrol for the benefit of control engineers and for neural networks researchers. Other applications involve signal processing, spatio-temporal pattern recognition, medical diagnoses, fault diagnoses, robotics, business, data communications, data compression, and adaptive man-machine systems. One paper describes data compression and dimensionality reduction methods that have characteristics, such as high compression ratios to facilitate data storage, strong discrimination of novel data from baseline, rapid operation for software and hardware, as well as the ability to recognized loss of data during compression or reconstruction. The collection can prove helpful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers related to programming, hardware interface, networking, engineering or design.
Download or read book Nonlinear Optics in Signal Processing written by R.W. Eason and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Optics in Signal Processing covers the applications of nonlinear optics to optical processing in a range of areas including switching, computing, and telecommunications.
Download or read book Introduction To The Theory Of Neural Computation written by John A. Hertz and published by CRC Press. This book was released on 2018-03-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.
Download or read book Novel Silicon Based Technologies written by R.A. Levy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Silicon, as an electronic substrate, has sparked a technological revolution that has allowed the realization of very large scale integration (VLSI) of circuits on a chip. These 6 fingernail-sized chips currently carry more than 10 components, consume low power, cost a few dollars, and are capable of performing data processing, numerical computations, and signal conditioning tasks at gigabit-per-second rates. Silicon, as a mechanical substrate, promises to spark another technological revolution that will allow computer chips to come with the eyes, ears, and even hands needed for closed-loop control systems. The silicon VLSI process technology which has been perfected over three decades can now be extended towards the production of novel structures such as epitaxially grown optoelectronic GaAs devices, buried layers for three dimensional integration, micromechanical mechanisms, integrated photonic circuits, and artificial neural networks. This book begins by addressing the processing of electronic and optoelectronic devices produced by using lattice mismatched epitaxial GaAs films on Si. Two viable technologies are considered. In one, silicon is used as a passive substrate in order to take advantage of its favorable properties over bulk GaAs; in the other, GaAs and Si are combined on the same chip in order to develop IC configurations with improved performance and increased levels of integration. The relationships between device operation and substrate quality are discussed in light of potential electronic and optoelectronic applications.
Download or read book Optical Computing and Neural Networks written by Hua-Kuang Liu and published by . This book was released on 1992 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Research in Progress written by and published by . This book was released on 1988 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book IEEE First International Conference on Neural Networks Sheraton Harbor Island East San Diego California June 21 24 1987 written by Maureen Caudill and published by . This book was released on 1987 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Learning in Energy Efficient Neuromorphic Computing Algorithm and Architecture Co Design written by Nan Zheng and published by John Wiley & Sons. This book was released on 2019-10-18 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities—and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks. The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware. Includes cross-layer survey of hardware accelerators for neuromorphic algorithms Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.
Download or read book Selected Papers on Optical Computing written by Henry John Caulfield and published by . This book was released on 1989 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: SPIE Milestones are collections of seminal papers from the world literature covering important discoveries and developments in optics and photonics.
Download or read book 1992 ICO Topical Meeting on Optical Computing written by Andreĭ Markovich Goncharenko and published by . This book was released on 1993 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Nonlinear Image Processing written by and published by . This book was released on 1993 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Intelligence in Telecommunications Networks written by Witold Pedrycz and published by CRC Press. This book was released on 2018-10-03 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Telecommunications has evolved and grown at an explosive rate in recent years and will undoubtedly continue to do so. As its functions, applications, and technology grow, it becomes increasingly complex and difficult, if not impossible, to meet the demands of a global network using conventional computing technologies. Computational intelligence (CI) is the technology of the future-and the future is now. Computational Intelligence in Telecommunications Networks offers an in-depth look at the rapid progress of CI technology and shows its importance in solving the crucial problems of future telecommunications networks. It covers a broad range of topics, from Call Admission Control, congestion control, and QoS-routing for ATM networks, to network design and management, optical, mobile, and active networks, and Intelligent Mobile Agents. Today's telecommunications professionals need a working knowledge of CI to exploit its potential to overcome emerging challenges. The CI community must become acquainted with those challenges to take advantage of the enormous opportunities the telecommunications field offers. This text meets both those needs, clearly, concisely, and with a depth certain to inspire further theoretical and practical advances.
Download or read book Selected Papers on Optical Correlators written by Suganda Jutamulia and published by SPIE-International Society for Optical Engineering. This book was released on 1993 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book IJCNN International Joint Conference on Neural Networks written by and published by . This book was released on 1989 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Introduction to Optics in Computers written by Henri H. Arsenault and published by SPIE Press. This book was released on 1992 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume surveys the entire field of optical computing. The emphasis is on breadth of coverage. The book is descriptive, the authors minimize the use of mathematics, and it is therefore most suitable for those who require an overall view of what is going on in this field. A detailed comparison is given of the capabilities of electronics and optics, and the degree to which these capabilities have been achieved is indicated. Other areas of focus include optical computing architectures, components and technologies, optical interconnects, and optical neural nets. Approximately 300 references to key works in the field are included.
