Artificial Neural Networks in Construction
| Major | Hydraulic Engineering |
|---|---|
| Faculty | Faculty of Hydraulic Engineering |
| Department | Hydraulic, Irrigation and Drainage Engineering |
| Lead Lecturer | Assoc. Prof. Dr. Eng. Maria Mavrova-Guirguinova |
Computational (artificial) intelligence (Cl) includes three main groups of methods: neural networks, fuzzy systems, evolutionary computing. This course describes, from engineering point of view, basic ideas and methods of Cl. The numerical modeling using neural networks will be introduced and its place in Hydraulic and Structural engineering science and practice (design, monitoring and control in operation) will be shown. The course is supported with examples and numerical experiments. It contents theory (50%) and practice (50%). The subject matter is prepared at a level suitable for use for students and postgraduate students.