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Promotion de Pâques : Jusqu’au 30.4.2025, profitez d'une réduction de 20 % sur les produits suivants. Code: NEST25
Machine Learning for Semiconductor Materials
Machine Learning for Semiconductor Materials
Contenu
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.
Informations bibliographiques
août 2025, env. 240 pages, Emerging Materials and Technologies, Anglais
Taylor and Francis
978-1-032-79688-8
Sommaire
Mots-clés
Contenu
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.
Informations bibliographiques
août 2025, env. 240 pages, Emerging Materials and Technologies, Anglais
Taylor and Francis
978-1-032-79688-8