638-0909/02 – Modelling of Metallurgical Processes (MIP)
| Gurantor department | Department of Automation and Computing in Industry | Credits | 10 |
| Subject guarantor | prof. Ing. Zora Koštialová Jančíková, CSc. | Subject version guarantor | prof. Ing. Zora Koštialová Jančíková, CSc. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | Czech |
| Year of introduction | 2013/2014 | Year of cancellation | |
| Intended for the faculties | FMT, HGF | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
Student will be able to formulate the basic methods of simulation models realization on the digital computer.
Student will get an overview of the basic principles of mathematic-physical modelling, similarity and modelling and of classic and artificial intelligence methods necessary for model realization.
Student will be able to create mathematical models of selected metallugical processes with aim of classic simulation programs and with artificial neural networks exploitation.
Teaching methods
Individual consultations
Summary
System modeling according to type of analogy. Analytic and experimental methods
for mathematical description determination. System simulation, computer models
creation. Software for simulation. Unconventional modeling – artificial
intelligence. Models of neural networks. Application of described methods in
selected metallurgical processes modeling.
Compulsory literature:
Jančíková, Z..: Modelling and simulation. Learning materials. Ostrava: VŠB-TU Ostrava, 2013.
Recommended literature:
Jančíková, Z..: Modelling and simulation. Learning materials. Ostrava: VŠB-TU Ostrava, 2013.
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
seminary work elaboration
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Introduction to systems modelling, forms of description of dynamic system.
Basic types of modelling (physical, mathematical, cybernetic.)
Classification of models according to different viewpoints.
Mathematical modelling, analytical and experimental methods of identification of mathematical system description.
Simulation of systems, creation of system model, block diagrams.
Simulation program SIPRO, SIMULINK,, creation of simulation models.
Introduction to similarity and modelling theory, theorems of similarity.
Derivation of general criterion equation by analysis of ratio equations.
Derivation of general criterion equation using dimensional analysis.
Unconventional modelling - artificial intelligence (fuzzy models, artificial neural networks, genetic algorithms).
Introduction to neural networks, neuron models, neural network.
Learning and generalization of neural networks, learning algorithms.
Creation of neural networks models.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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