Course description

This course introduces neural networks and others soft computing methods which, unlike hard computing, are tolerant of imprecision, uncertainty and partial truth. Topics include: neural networks model, architectures, mathematical property and learning algorithms; optimization algorithms for soft computing methods; introduction to fuzzy-set; application on intelligent data analysis, patterns recognition, multi-sensors data-fusion, blind source separation.

Lesson timetable

The course will begin on 1-th october, with the following schedule:

Course material

 

Seminars

 

Homeworking

 

Examination