Machine learning in VLSI computer-aided design
Ibrahim (Abe) M. Elfadel, Duane S. Boning, Xin Li, editors
(Springer Nature, 2019)
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| This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. |
 Machine Learning in VLSI Computer-Aided Design.pdf :: Unduh
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| No. Panggil : | e20509194 |
| Entri tambahan-Nama orang : | |
| Subjek : | |
| Penerbitan : | Switzerland: Springer Nature, 2019 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | xxii, 694 pages : illustration |
| Tautan: | https://doi.org/10.1007/978-3-030-04666-8 |
| Lembaga Pemilik: | |
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| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20509194 | 02-20-117147312 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20509194 |
