Machine Learning for Semiconductor Materials -
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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 the various algorithms of machine learning such as regression, decision tree, support vector machine and k-means clustering and so forth.
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Aprašymas
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 the various algorithms of machine learning such as regression, decision tree, support vector machine and k-means clustering and so forth.
Vairāk informācijas
| Izdevējs | Taylor & Francis Ltd |
|---|---|
| Izlaides gads | 2025 |
| Vāka tips | Cietais vāks |
| EAN | 9781032796888 |