Bi-weekly on Wednesday: group 1 from 12:15h to 13:45h, group 2 from 16:15h - 17:45h.
Instruction Language: English.
For a German version of this web page please click the 'Deutsch' button at the top right corner.
Examinations:
Program
Type
Requirements
Informatics,
Diplom
: Leistungsnachweis
-> must pass tutorial
Informatics,
Diplom
: Fachprüfung
-> oral examination (30 min)
Informatics,
Bachelor
: Module
-> oral examination (30 min)
Automation & Robotics,
Master
: Module
-> oral examination (30 min)
Examination date: by appointment; as of 27th February 2012.
Description:
Typically, Computational Intelligence is used as an umbrella term for the fields of
artificial neural nets (ANN), fuzzy systems (FS) and evolutionary computation (EC).
This course offers a thorough introduction into all three fields.
Foundations of ANN: McCulloch-Pitts nets, perceptrons, Hopfield nets,
supervised and unsupervised learning, backpropagation.
Foundations of FS: Fuzzy sets, fuzzy numbers, fuzzy logic, fuzzy reasoning.
Foundations of EC: Algorithmic basics, parameterization, analysis methods, limits of deployment.
Students should get an overview about the different aspects of Computational Intelligence.
They should be familiar with the essential elements in all three fields (ANN, FS, EC) and
able to deploy and adapt these methods for real applications. Moreover, they should be
able to assess when to deploy these methods and when not.
Slides:
12.10.11
Artificial Neural Networks I
19.10.11
Artificial Neural Networks II
26.10.11
Artificial Neural Networks III
02.11.11
Artificial Neural Networks IV
09.11.11
Fuzzy Systems I
16.11.11
Fuzzy Systems II
23.11.11
Fuzzy Systems III
30.11.11
Fuzzy Systems IV
07.12.11
Fuzzy Systems V
(to be delivered)
14.12.11
Fuzzy Systems VI
(to be delivered)
21.12.11
Evolutionary Algorithms I
11.01.12
Evolutionary Algorithms II
18.01.12
Evolutionary Algorithms III
25.01.12
Evolutionary Algorithms IV
01.02.12
Swarm Intelligence
Literature:
A.E. Eiben and J.E. Smith: Introduction to Evolutionary Algorithms. Corrected 2nd printing. Springer 2007.
Raul Rojas: Neural Networks - A Systematic Introduction. Springer 1996. Available online.
G.J. Klir und B. Yuan: Fuzzy Sets and Fuzzy Logic. Prentice Hall 1995.
F. Höppner, F. Klawonn, R. Kruse und T. Runkler: Fuzzy Cluster Analysis. Wiley 1999.
Amit Konar: Computational Intelligence: Principles, Techniques and Applications. Springer 2005.
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