Arvutiteaduse instituut
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  • Kursused
  • 2020/21 kevad
  • Hägus loogika ja ligikaudsed arvutusmeetodid (LTAT.02.005)

Hägus loogika ja ligikaudsed arvutusmeetodid 2020/21 kevad

  • Pealeht
  • Loengud
  • Viited

Course info

Lecturer: Stefania Tomasiello (stefania.tomasiello@ut.ee; stefania.tomasiello@gmail.com)

The course starts with the lecture on February 15, 2021. There will be no practice sessions during the first week.

About the course

The aim of this course is to introduce students to the main topics and some of the latest advancements in fuzzy logic and soft computing. The following topics will be covered during the course:

  • Fuzzy sets
  • Zadeh’s Extension Principle and fuzzy numbers
  • Fuzzy relations
  • Fuzzy logic
  • Fuzzy-rule based systems
  • Fuzzy Inference Systems
  • Essentials of Artificial Neural Networks
  • A brief introduction to Genetic Algorithms
  • Combining Artificial Neural Networks, fuzzy sets and evolutionary computations
  • Least-squares based approaches
  • Fuzzy regression
  • Fuzzy transform and data compression
  • Brief introduction to fuzzy decision making
  • Brief introduction to granular computing

Assessment Non-differentiated (pass, fail, not present). For the homework assignments: up to 70 points. For the final project: up to 30 points. To pass: 51 points

Materials

Course announcements, study materials and updates will appear in Moodle.

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