Vorlesung Introduction to Neural Networks and Genetic Algorithms
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 |
|