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Lehrveranstaltung

Vorlesung Introduction to Neural Networks and Genetic Algorithms

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Semester:Sommersemester 2025
Dozenten:Prof. Dr. Andreas Geyer-Schulz;
Termin:Dienstag 15:45 - 17:15
Ort:Gebäude 05.20 (Kronenplatz), Raum 1C-01
SWS:2

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Inhalt

ILIAS

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Veranstaltungstermine

Time Inhalt
22.04.2025, 15:45 - 17:15
29.04.2025, 15:45 - 17:15
06.05.2025, 15:45 - 17:15
07.05.2025, 11:30 - 13:00
20.05.2025, 15:45 - 17:15
21.05.2025, 11:30 - 13:00
27.05.2025, 15:45 - 17:15
03.06.2025, 15:45 - 17:15
17.06.2025, 15:45 - 17:15
24.06.2025, 15:45 - 17:15
01.07.2025, 15:45 - 17:15
15.07.2025, 15:45 - 17:15
22.07.2025, 15:45 - 17:15
29.07.2025, 15:45 - 17:15


Vorlesungsmaterialien

Inhalt Autor
Introduction to Neural Networks and Genetic Algorithms. Learning in Nature Geyer-Schulz, Andreas
Foundations of Neural Networks Geyer-Schulz, Andreas
Foundations of Neural Networks: Regularization Geyer-Schulz, Andreas
Foundations of Simple Genetic Algorithms Geyer-Schulz, Andreas
Analysis of Binary Coded Genetic Algorithms Geyer-Schulz, Andreas
The Genetic Algorithm as Function Optimizer Geyer-Schulz, Andreas
Variants of Genetic Algorithms Geyer-Schulz, Andreas
Reflection for GAs and EAS Geyer-Schulz, Andreas
Old Examinations Geyer-Schulz, Andreas
xegaX: A Family of R-Packages for Genetic and Evolutionary Algorithms with Multiple Genome Representations (Draft) Geyer-Schulz, Andreas
Introduction to R Geyer-Schulz, Andreas