Course Details

Artificial inteligence methods in water management

Academic Year 2022/23

DSB026 course is part of 3 study plans

DKC-V Winter Semester 1st year

DKA-V Winter Semester 1st year

DPA-V Winter Semester 1st year

Problems of uncertainty in rainfall-runoff modelling, stochastic processes, vague description of variables, adaptivity principle, learning systems, application of artificial neural networks, application of fuzzy models, application of genetic algorithms.

Course Guarantor

prof. Ing. Miloš Starý, CSc.

Institute

Institute of Landscape Water Management

Objective

Application of basic methods of artificial inteligence in hydrology and water management

Knowledge

Student gains basic knowledge of using artifical inteligence methods in water management problems solution

Syllabus

1. Problems of uncertainty in hydrology and water management.
2. Adaptivity principle and learning systems.
3.–4. Neural networks and their simulators.
5.–7. Application of neural networks on selected problems solutions.
8.–9. Fuzzy models.
10.–11. Application of fuzzy models.
12.–13. Genetic algorithms and their application.

Prerequisites

Hydrology, hydraulics, mathematics, probability theory and mathematical statistics, physics.

Language of instruction

Czech

Credits

8 credits

Semester

winter

Forms and criteria of assessment

examination

Specification of controlled instruction, the form of instruction, and the form of compensation of the absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Offered to foreign students

Not to offer

Course on BUT site

https://www.vut.cz/en/students/courses/detail/253063

Lecture

13 weeks, 3 hours/week, elective

Syllabus

1. Problems of uncertainty in hydrology and water management.
2. Adaptivity principle and learning systems.
3.–4. Neural networks and their simulators.
5.–7. Application of neural networks on selected problems solutions.
8.–9. Fuzzy models.
10.–11. Application of fuzzy models.
12.–13. Genetic algorithms and their application.