After taking this course the student knows the basic methods of neurocomputing and their applications in different problems.
Contents
Methods of neurocomputing and algorithms in conjunction with networks with forward and backward input are examined. Topics include also the supervised and unsupervised learning of neural networks. The examined methods are discussed in the context of application examples such as making various inferences.
Teaching methods
Teaching method
Contact
Online
Lectures
24 h
0 h
Exercises
10 h
0 h
Teaching language
English
Modes of study
Option
1
Available for:
Degree Programme Students
Other Students
Open University Students
Doctoral Students
Exchange Students
Lectures, exercises and exam.Participation in course work
In
English
Written examination and active participation in exercises.