| 書目名稱 | FPGA Implementations of Neural Networks | | 編輯 | Amos R. Omondi,Jagath C. Rajapakse | | 視頻video | http://file.papertrans.cn/341/340125/340125.mp4 | | 概述 | There is no present book addressing the subject of FPGA implementation of neurocomputers.The book provides an extensive coverage of the topic.The research issues addressed in the book are hot research | | 圖書封面 |  | | 描述 | 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 issue | | 出版日期 | Book 2006 | | 關鍵詞 | Consumer Electronics; Performance; Text; algorithms; artificial intelligence; integrated circuit; metal-ox | | 版次 | 1 | | doi | https://doi.org/10.1007/0-387-28487-7 | | isbn_softcover | 978-1-4419-3942-5 | | isbn_ebook | 978-0-387-28487-3 | | copyright | Springer-Verlag US 2006 |
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