ION526 INTRODUCTION TO NEURAL NETWORKS
| Course Code: |
9040526 |
| METU Credit (Theoretical-Laboratory hours/week): |
3(3-0) |
| ECTS Credit: |
8.0 |
| Department: |
Informatics Online |
| Language of Instruction: |
English |
| Level of Study: |
Graduate |
| Course Coordinator: |
|
| Offered Semester: |
Spring Semesters. |
Course Content
This course aims to give basics of Artificial Neural Networks in an algorithmic approach. The following topics are to be covered in the course: Biological and Artificial Neurons, Perceptron Training Algorithm, Multilayer Perceptron and Back Propagation Training Algorithm, Hopfield Network as Autoassociative Memory, Bidirectional Associative Memory, Function Interpolation and Radial Basis Function Networks, Kohonen Self Organizing Feature Maps, Hopfield Network for Optimization Problems, Simulated Annealing and Boltzman Machine.
