Simulation of Biological Systems (E374013)
Departments:ústav přístrojové a řídící techniky (12110)
Abbreviation:Approved:09.01.2012
Valid until: ??Range:2P+2C
Semestr:*Credits:5
Completion:Z,ZKLanguage:EN
Annotation
Modelling of biological dynamic systems, from single unit to population. Biological and artificial neuron, catastrophe theory, compartment models. Basic numerical description of dynamic systems and its solution in Matlab.
Subject web pages: http://iat.fs.cvut.cz/sbs
Teacher's
Ing. Vladimír Hlaváč Ph.D.
Zimní 2023/2024
Ing. Vladimír Hlaváč Ph.D.
Zimní 2022/2023
Structure
Artificial/biological neuron
biological neuron description
artificial neuron network, perceptron, MLP, back propagation
other types (radial based, Hopfield network, model of memory)
homeostatic neural network
Artificial live
The "live game" simulation
Cellular automata
Swarm intelligence
Artificial ants (vant-s)
Population simulation - single population, dual (hare-wolf), three population (+vegetation grow)
Modeling of process
differential equation for dynamic description
compartment method
deterministic chaos, Lorentz attractor
catastrophic theory, examples of use
Identification
using known model, guessing parameters (gradient descent)
using feed forward neural network
using swarm/genetic algorithm
data analysis (correlation, autocorrelation, Fourier transform)
Structure of tutorial
Most of problems trained using Matlab, or with a single-purpose programs. Important part of students' work is preparing a presentation and a report about one or two problems from the range of the subject.
Literarture
Subject web page: http://iat.fs.cvut.cz/sbs/
Requirements
Attending students should have accomplished basic course of mathematics on differential equations.
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