MERIT
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AI Implementation in Industry
This short course introduces core Artificial Intelligence (AI) methods applied in engineering and industrial decision-making. The course focuses on optimization techniques, artificial neural networks, and multicriteria decision-making methods that are commonly used in real-world industrial problems.
Lecture 1: Artificial Neural Networks
- Fundamentals of artificial neural networks
- Neural network modelling principles
- Industrial applications of ANN in engineering problems
- Relationship between modelling and optimization
Lecture 2: AI and Optimization
- AI-based global optimization vs traditional optimization
- Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO)
- Case studies from industry and robotics
- Integration of optimization and AI models
Lecture 3: Multicriteria Decision-Making Methods
- Introduction to multicriteria decision-making (MCDM)
- Analytical Hierarchy Process (AHP) and Fuzzy AHP
- TOPSIS and RADAR methods
- Engineering case studies for risk and KPI prioritization
Par Pasniedzēju
Neesi reģistrējies kursā
Kurss Includes
- 3 Nodarbības
- Kurss Certificate
Autorizācija
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