  Anotace čs en
 Základní studium:abecedněpodle ústavůDoktorské:abecedněpodle ústavů
Simulation of Biological Systems (E374013)
 Katedra: ústav přístrojové a řídící techniky (12110) Zkratka: Schválen: 09.01.2012 Platí do: ?? Rozsah: 2P+2C Semestr: * Kredity: 5 Zakončení: Z,ZK Jazyk výuky: EN
Anotace
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
Vyučující
Ing. Vladimír Hlaváč Ph.D.
Zimní 2019/2020
Ing. Vladimír Hlaváč Ph.D.
Zimní 2018/2019
Ing. Vladimír Hlaváč Ph.D.
Zimní 2017/2018
doc. Ing. Ivo Bukovský Ph.D.
Letní 2016/2017
doc. Ing. Ivo Bukovský Ph.D.
Zimní 2016/2017
Osnova
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)
Osnova cvičení
1-2 Useful programming techniques, worksheet calculators, introduction to Matlab,Maple, Simulink, efficency of matrix and vector operations in Matlab.
3-4 Fundamentals on modelling dynamical systems, linear s
3-4 Simulation of simple catastrophic models. Simulation of bifurcations in models of beetle population. Simulation of continuous chaotic model (MS Excel, demonstration of program Maple).
5-6 Determining parameters for state space reconstruction (False Neighbors Method, Mutual Information). Automated design of an artificial neural network model predicting heart-beat rhythm; designing a model from measured data (R-R recordings) (MS Excel, Dataplore, Matlab/Simulink).
7-8 Simulation of monitoring the actual changes in the dynamics of cardiovascular system with higher-order nonlinear neural units (HONNU) (Matlab/Simulink)
9-10 Automated design of adaptive neuro-fuzzy model of combined anesthetics effects with uncertainty in measured data (MS Excel, Matlab/Simulink ANFIS).
11-12 The model of the fast control influences of autonomous neural system affecting the heart-rate variability (Matlab/Simulink).
13-14 Accomplishing projects, consulting, credits
Literatura
Subject web page: http://iat.fs.cvut.cz/sbs/