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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Artificial Neural Networks

The course is not on the list Without time-table
Code Completion Credits Range
20Y2UA-E KZ 3 2+0
Lecturer:
Tutor:
Supervisor:
Department of Transport Telematics
Synopsis:

Basic knowledge in the field of neural networks, their classification and application.

Requirements:

Basic knowledge of mathematics.

Syllabus of lectures:

History of neural networks. Basic principles. Comparing the structure of a natural and an artificial neuron. Neural classificators, predictors, compresors, expanders and other specialised functional regulators. Modelling of neurons. Grossberg's equations. Learning principles. Hopfield's nets. Information and control tasks solution in transportation and other areas.

Syllabus of tutorials:
Study Objective:
Study materials:

Novák M., Kufufaki O., Moos P., Musílek P., Pelikán E., Šebesta V.: Umělé neuronové sítě, teorie a aplikace, Praha, C.H. Beck, 1998,

Fogelman Soulié F., Gallinari P.: Industrial applications of neural networks, Singapore, World Scientific, 1998,

Norgaard M., Ravn O., Poulsen N. K., Hansen L. K.: Neural Networks for Modelling and Control of Dynamic

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 2019-02-21
For updated information see http://bilakniha.cvut.cz/en/predmet24791205.html