Programme:

• 29.2. Introduction to soft computing

  Soft computing differs from conventional computing in, for instance, that it is tolerant of imprecision, uncertainty, partial truth, and approximation. The nature and the human mind have inspired the development of soft computing. The principal areas of soft computing are fuzzy logic, neural computing or network, genetic algorithms and programming, and probabilistic reasoning. Many areas of the soft computing are based on the idea that a systems adapts to its environment or learns as opposed to the traditional programming of software.

• 7.3. Fuzzy systems

• 14.3. Neural networks and their applications in humanities

• 21.3. Genetic algorithms with applications in art and design

• 28.3. Self-organizing maps for data analysis

• 4.4. Self-organizing maps and fuzzy sets in natural language processing

• 11.4. Interactive and autonomous adaptive agents

• 18.4. Implications for society

Lectures are held at the lecture room of the UIAH Media Lab.

More material

• Soft computing in image processing

Information for students from other universities in Helsinki area is available at http://www.uiah.fi/opintoasiat/ylimohje/sopimus.html and http://www.helsinki.fi/joo/index.html.

For more specific information about registration, please contact Anna Arsniva (arsniva@mlab.uiah.fi).