Neural Networks and Neurocomputers
Semestr: Winter
Range: 2+2s
Completion:
Credits: 4
Programme type:
Study form:
Course language:
Summary:
Theoretical background, paradigm classification and artificial neural networks learning methods. Student is supposed to propose and test the application of an artificial neural network for a partial issue concerning his dissertation theme during the semester. Procedure and results would be concluded in the preliminary publication form designed to be presentable on a scientific forum.
Keywords:
Course syllabus:
Seminar syllabus:
Literature:
Chen, C.H.: Fuzzy Logic and Neural Network Handbook McGraw-Hill,
ISBN 0-07-011189-8, 1996