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Lehrveranstaltung

Vorlesung Introduction to Neural Networks and Genetic Algorithms

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Semester:Sommersemester 2024
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

Please also subscribe to our corresponding ILIAS course.

Veranstaltungstermine

Time Inhalt
16.04.2024, 15:45 - 17:15
23.04.2024, 15:45 - 17:15
30.04.2024, 15:45 - 17:15
07.05.2024, 15:45 - 17:15
14.05.2024, 15:45 - 17:15
28.05.2024, 15:45 - 17:15
04.06.2024, 15:45 - 17:15
11.06.2024, 15:45 - 17:15
18.06.2024, 15:45 - 17:15
25.06.2024, 15:45 - 17:15
02.07.2024, 15:45 - 17:15
09.07.2024, 15:45 - 17:15
16.07.2024, 15:45 - 17:15
23.07.2024, 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 Zamanishandiz, Seyedmostafa