| 书目名称 | Neural Information Processing and VLSI |
| 编辑 | Bing J. Sheu,Joongho Choi |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | .Neural Information Processing and VLSI. provides a unifiedtreatment of this important subject for use in classrooms, industry,and research laboratories, in order to develop advanced artificial andbiologically-inspired neural networks using compact analog and digitalVLSI parallel processing techniques. ..Neural Information Processing and VLSI. systematically presentsvarious neural network paradigms, computing architectures, and theassociated electronic/optical implementations using efficient VLSIdesign methodologies. Conventional digital machines cannot performcomputationally-intensive tasks with satisfactory performance in suchareas as intelligent perception, including visual and auditory signalprocessing, recognition, understanding, and logical reasoning (wherethe human being and even a small living animal can do a superb job).Recent research advances in artificial and biological neural networkshave established an important foundation for high-performanceinformation processing with more efficient use of computing resources.The secret lies in the design optimization at various levels ofcomputing and communication of intelligent machines. Each neuralnetwork system consists of massi |
| 出版日期 | Book 1995 |
| 关键词 | CMOS; Routing; Signal; VLSI; analog; artificial intelligence; circuit; communication; information; informatio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-2247-8 |
| isbn_softcover | 978-1-4613-5946-3 |
| isbn_ebook | 978-1-4615-2247-8Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 1995 |
发表于 2025-3-21 19:07:16
