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VLSI and Hardware Implementations using Modern Machine Learning Methods
VLSI and Hardware Implementations using Modern Machine Learning Methods
This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design with focus on digital, analog and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas.
312 pages, 35 Tables, black and white; 114 Line drawings, black and white; 5 Halftones, black and wh
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2024年10月7日 |
| ISBN13 | 9781032061726 |
| 出版商 | Taylor & Francis Ltd |
| 页数 | 312 |
| 商品尺寸 | 150 × 220 × 10 mm · 417 g |
| 语言 | 英语 |
| 编辑 | Lata, Kusum (Department of Electronics and Communication Engineering, The LNM Institute of Information Technology, Jaipur, India.) |
| 编辑 | Saini, Sandeep (Department of Electronics and Communication Engineering, The LNM Institute of Information Technology, Jaipur, India.) |
| 编辑 | Sinha, G.R. (Department of Electronics and Communication Engineering, Myanmar Institute of Information Technology, Mandalay, Myanmar.) |