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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Neural Networks and Neurocomputers

The course is not on the list Without time-table
Code Completion Credits Range
XP36NSN ZK 4 2P+2S
Lecturer:
Tutor:
Supervisor:
Department of Computer Science
Synopsis:

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.

Requirements:
Syllabus of lectures:
Syllabus of tutorials:
Study Objective:
Study materials:

Chen, C.H.: Fuzzy Logic and Neural Network Handbook McGraw-Hill,

ISBN 0-07-011189-8, 1996

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-10-18
For updated information see http://bilakniha.cvut.cz/en/predmet11846504.html