Vorlesung Introduction to Neural Networks and Genetic Algorithms
| Semester: | Sommersemester 2026 |
| Dozenten: | Prof. Dr. Andreas Geyer-Schulz; |
| Termin: | Dienstag 15:45 - 17:15 |
| Ort: | Gebäude 05.20 (Kronenplatz), Raum 1C-01 |
| SWS: | 2 |
Inhalt
ILIAS
Please also subscribe to our corresponding ILIAS course.
Veranstaltungstermine
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| Time |
Inhalt |
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| 21.04.2026, 15:45 - 17:15 |
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| 28.04.2026, 15:45 - 17:15 |
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| 05.05.2026, 15:45 - 17:15 |
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| 12.05.2026, 15:45 - 17:15 |
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| 19.05.2026, 15:45 - 17:15 |
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| 02.06.2026, 15:45 - 17:15 |
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| 09.06.2026, 15:45 - 17:15 |
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| 16.06.2026, 15:45 - 17:15 |
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| 23.06.2026, 15:45 - 17:15 |
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| 30.06.2026, 15:45 - 17:15 |
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| 07.07.2026, 15:45 - 17:15 |
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| 14.07.2026, 15:45 - 17:15 |
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| 21.07.2026, 15:45 - 17:15 |
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| 28.07.2026, 15:45 - 17:15 |
|
Vorlesungsmaterialien
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| Inhalt |
Autor |
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| 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 |
|