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Machine Learning for Semiconductor Materials - 可打印的版本 +- 清水湾论坛 - 香港科技大学内地学生学者联谊会 MSSS (https://msss.hkust.edu.hk/forum) +-- 版块: 休闲娱乐 (https://msss.hkust.edu.hk/forum/forumdisplay.php?fid=7) +--- 版块: 吹水湾 (https://msss.hkust.edu.hk/forum/forumdisplay.php?fid=11) +--- 主题: Machine Learning for Semiconductor Materials (/showthread.php?tid=73252) |
Machine Learning for Semiconductor Materials - ebooks1001 - 08-21-2025 ![]() Machine Learning for Semiconductor Materials English | 2026 | ISBN: 103279688X | 226 Pages | PDF EPUB (True) | 24 MB Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of technology computer-aided design (TCAD). It provides various algorithms of machine learning, such as regression, decision tree, support vector machine, K-means clustering and so forth. This book also highlights semiconductor materials and their uses in multi-gate devices and the analog and radio-frequency (RF) behaviours of semiconductor devices with different materials. 引用:DOWNLOAD FROM UPLOADYLinks are Interchangeable - Single Extraction |