| 書(shū)目名稱 | VLSI — Compatible Implementations for Artificial Neural Networks |
| 編輯 | Sied Mehdi Fakhraie,Kenneth Carless Smith |
| 視頻video | http://file.papertrans.cn/981/980111/980111.mp4 |
| 叢書(shū)名稱 | The Springer International Series in Engineering and Computer Science |
| 圖書(shū)封面 |  |
| 描述 | This book introduces several state-of-the-art VLSI implementations of artificial neural networks (ANNs). It reviews various hardware approaches to ANN implementations: analog, digital and pulse-coded. The analog approach is emphasized as the main one taken in the later chapters of the book. The area of VLSI implementation of ANNs has been progressing for the last 15 years, but not at the fast pace originally predicted. Several reasons have contributed to the slow progress, with the main one being that VLSI implementation of ANNs is an interdisciplinaly area where only a few researchers, academics and graduate students are willing to venture. The work of Professors Fakhraie and Smith, presented in this book, is a welcome addition to the state-of-the-art and will greatly benefit researchers and students working in this area. Of particular value is the use of experimental results to backup extensive simulations and in-depth modeling. The introduction of a synapse-MOS device is novel. The book applies the concept to a number of applications and guides the reader through more possible applications for future work. I am confident that the book will benefit a potentially wide readership. |
| 出版日期 | Book 1997 |
| 關(guān)鍵詞 | CMOS; Counter; Hardware; Potential; VLSI; analog; integrated circuit; modeling; network; neural networks; semi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-6311-2 |
| isbn_softcover | 978-1-4613-7897-6 |
| isbn_ebook | 978-1-4615-6311-2Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 1997 |
|Archiver|手機(jī)版|小黑屋|
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