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| Author | : Luya Gao |
| Publisher | : |
| Total Pages | : 33 |
| Release | : 2019 |
| Genre | : Field programmable gate arrays |
| ISBN | : |
| Author | : Amos R. Omondi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 365 |
| Release | : 2006-10-04 |
| Genre | : Technology & Engineering |
| ISBN | : 0387284877 |
During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attributed to the fact that earlier work was almost entirely aimed at developing custom neurocomputers, based on ASIC technology, but for such niche - eas this technology was never suf?ciently developed or competitive enough to justify large-scale adoption. On the other hand, gate-arrays of the period m- tioned were never large enough nor fast enough for serious arti?cial-neur- network (ANN) applications. But technology has now improved: the capacity and performance of current FPGAs are such that they present a much more realistic alternative. Consequently neurocomputers based on FPGAs are now a much more practical proposition than they have been in the past. This book summarizes some work towards this goal and consists of 12 papers that were selected, after review, from a number of submissions. The book is nominally divided into three parts: Chapters 1 through 4 deal with foundational issues; Chapters 5 through 11 deal with a variety of implementations; and Chapter 12 looks at the lessons learned from a large-scale project and also reconsiders design issues in light of current and future technology.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2012 |
| Genre | : |
| ISBN | : |
| Author | : Omar Sadeq Salman |
| Publisher | : |
| Total Pages | : 104 |
| Release | : 2014 |
| Genre | : Neural networks (Computer science) |
| ISBN | : |
This project may be seen as a place to begin for learning Artificial Neural Network (ANN).
| Author | : Irwin King |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1248 |
| Release | : 2006 |
| Genre | : Artificial intelligence |
| ISBN | : 3540464840 |
Annotation The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions. The 126 papers of the first volume are organized in topical sections on neurobiological modeling and analysis, cognitive processing, mathematical modeling and analysis, learning algorithms, support vector machines, self-organizing maps, as well as independent component analysis and blind source separation. The second volume contains 128 contributions related to pattern classification, face analysis and processing, image processing, signal processing, computer vision, data pre-processing, forecasting and prediction, as well as neurodynamic and particle swarm optimization. The third volume offers 131 papers that deal with bioinformatics and biomedical applications, information security, data and text processing, financial applications, manufacturing systems, control and robotics, evolutionary algorithms and systems, fuzzy systems, and hardware implementations.
| Author | : Peter Y.K. Cheung |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1204 |
| Release | : 2003-08-27 |
| Genre | : Computers |
| ISBN | : 3540408223 |
This book constitutes the refereed proceedings of the 13th International Conference on Field-Programmable Logic and Applications, FPL 2003, held in Lisbon, Portugal in September 2003. The 90 revised full papers and 56 revised poster papers presented were carefully reviewed and selected from 216 submissions. The papers are organized in topical sections on technologies and trends, communications applications, high level design tools, reconfigurable architecture, cryptographic applications, multi-context FPGAs, low-power issues, run-time reconfiguration, compilation tools, asynchronous techniques, bio-related applications, codesign, reconfigurable fabrics, image processing applications, SAT techniques, application-specific architectures, DSP applications, dynamic reconfiguration, SoC architectures, emulation, cache design, arithmetic, bio-inspired design, SoC design, cellular applications, fault analysis, and network applications.
| Author | : Piotr Antonik |
| Publisher | : Springer |
| Total Pages | : 171 |
| Release | : 2018-05-18 |
| Genre | : Science |
| ISBN | : 3319910531 |
This book lies at the interface of machine learning – a subfield of computer science that develops algorithms for challenging tasks such as shape or image recognition, where traditional algorithms fail – and photonics – the physical science of light, which underlies many of the optical communications technologies used in our information society. It provides a thorough introduction to reservoir computing and field-programmable gate arrays (FPGAs). Recently, photonic implementations of reservoir computing (a machine learning algorithm based on artificial neural networks) have made a breakthrough in optical computing possible. In this book, the author pushes the performance of these systems significantly beyond what was achieved before. By interfacing a photonic reservoir computer with a high-speed electronic device (an FPGA), the author successfully interacts with the reservoir computer in real time, allowing him to considerably expand its capabilities and range of possible applications. Furthermore, the author draws on his expertise in machine learning and FPGA programming to make progress on a very different problem, namely the real-time image analysis of optical coherence tomography for atherosclerotic arteries.
| Author | : James O. Hamblen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 279 |
| Release | : 2007-05-08 |
| Genre | : Technology & Engineering |
| ISBN | : 0306476355 |
Rapid Prototyping of Digital Systems, Second Edition provides an exciting and challenging laboratory component for an undergraduate digital logic design class. The more advanced topics and exercises are also appropriate for consideration at schools that have an upper level course in digital logic or programmable logic. Design engineers working in industry will also want to consider this book for a rapid introduction to FPLD technology and logic synthesis using commercial CAD tools, especially if they have not had previous experience with the new and rapidly evolving technology. Two tutorials on the Altera CAD tool environment, an overview of programmable logic, and a design library with several easy-to-use input and output functions were developed for this book to help the reader get started quickly. Early design examples use schematic capture and library components. VHDL is used for more complex designs after a short introduction to VHDL-based synthesis. A coupon is included with the text for purchase of the new UP 1X board. The additional logic and memory in the UP 1X's FLEX 10K70 is useful on larger design projects such as computers and video games. The second edition includes an update chapter on programmable logic, new robot sensors and projects, optional Verilog examples, and a meta assembler which can be used to develop assemble language programs for the computer designs in Chapters 8 and 13.
| Author | : Jonathan Turner |
| Publisher | : |
| Total Pages | : 114 |
| Release | : 2012 |
| Genre | : Electronic dissertations |
| ISBN | : |
Author's abstract: This work documents a study of intelligent neural network control system design and implementation for engineering applications. In this study, the effectiveness of single multiplicative neuron (SMN) in place of traditional multi-layer perceptron (MLP) is investigated. The objectives were to (i) verify the feasibility of SMN based control systems, (ii) quantitatively compare the performance of SMN and MLP based systems, (iii) determine the amount of computation that could be saved by using SMN instead of MLP in a control system, and (iv) determine the performance of a SMN in an adaptive critic design (ACD) using action dependent heuristic dynamic programming (ADHDP). It was hypothesized that the replacement of a MLP network with a SMN would result in a controller that would achieve the same control quality in a less processor intensive manner, possibly allowing controller implementation on a less costly computer or microcontroller system. Controllers featuring the MLP and the SMN were implemented in LabVIEW for two physical systems and compared based on their ability to accurately control the system response when given complex reference inputs. The SMN based control systems were implemented with both off-line and on-line training using conventional and field programmable gate array (FPGA) based data acquisition hardware. The controllers were also compared based on the number of calculations required to complete the artificial neural network (ANN) related sections of the control loop. The SMN based control systems were found to perform as well as, if not better than their MLP based counterparts, in all cases studied, while significantly reducing required computations. The SMN was finally implemented in an intelligent controller based on ADHDP and found to perform better than conventional controllers like PID with a periodic disturbance.
| Author | : IEEE Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2018-11-23 |
| Genre | : |
| ISBN | : 9781538679845 |
The 5th NAFOSTED Conference on Information and Computer Science (NICS) 2018 is an international conference It aims to build a durable, innovative and conducive forum for international researchers to present and discuss recent advancements and future directions in the field of information and computer science
