ΜΚ23 | Applications of Artificial and Computational Intelligence in Engineering Design
Postgraduate Study Program | Design and Production
Introduction – Objectives – Engineering design: Design Techniques and Methods – The design phases – Concurrent and collaborative design – The designer – Artificial and computational intelligence: Search algorithms – Knowledge representation – Artificial neural networks – machine learning – Evolutionary algorithms – Genetic algorithms and optimization – Fuzzy logic – Fuzzy rules and systems – Applications of Artificial and Computational Intelligence in Design: Representations of design knowledge – Structures of design entities – Design metrics – Functional and structural analysis of mechanical systems – Case-based design – Knowledge-based design systems – Fuzzy logic and collaborative design – Design optimization with genetic algorithms – Artificial neural networks and design learning – Applications – Design programs and tools.
Course Features
- Lectures 0
- Quizzes 0
- Skill level All levels
- Language English
- Students 0
- Assessments Yes