Projects & Grants
| Unconventional methods for IT | |
|---|---|
| Project Id | SGS15/PřF/2022 |
| Main solver | prof. RNDr. PaedDr. Eva Volná, PhD. |
| Period | 1/2022 - 12/2022 |
| Provider | Specifický VŠ výzkum |
| State | finished |
| Anotation | The project is oriented on the research in the area of Artificial Intelligence. It emphasises the use of unconventional methods and approaches (e.g. machine learning, fuzzy modelling, neural networks, evolutionary algorithms, virtual reality technology, etc.) in applications. It mainly concerns tasks solved in autonomous robotic systems, recommender systems, expert systems, predictive systems, classification systems, multiagent systems, intelligent houses, etc. The project results follow up the research outcomes of the investigation team members. Hybrid approaches based on the AI unconventional methods will enable to develop interdisciplinary methods while using the advantages of individual approaches applicable in intelligent systems. Such set goals correspond with the research focus of the Faculty of Science UO since they specifically take grounds form the research conducted at the Dept. of Informatic and Computers, Faculty of Science UO: Soft Computing for IT. |
