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Machine Learning for Semiconductor Materials
Machine Learning for Semiconductor Materials
Inhalt
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.
Bibliografische Angaben
August 2025, ca. 240 Seiten, Emerging Materials and Technologies, Englisch
Taylor and Francis
978-1-032-79688-8
Inhaltsverzeichnis
Schlagworte
Inhalt
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.
Bibliografische Angaben
August 2025, ca. 240 Seiten, Emerging Materials and Technologies, Englisch
Taylor and Francis
978-1-032-79688-8