Course code InfT6031
Credit points 3
Artificial Neuron Network
Total Hours in Course81
Number of hours for lectures16
Number of hours for seminars and practical classes16
Independent study hours49
Date of course confirmation19.10.2011
Responsible UnitInstitute of Computer Systems and Data Science
Course developer
Pēteris Rivža
Dr. habil. sc. ing.
Course abstract
The concept of biological neurons and artificial neurons. The artificial networks, classification and typology. Modeling and tuition of artificial neural networks with the systems MATLAB and Simulink. Applications of artificial neural networks in computer con
Learning outcomes and their assessment
• Knowledge about artificial neural networks, their classification, learning and modeling;
• skills to chose and implement a proper neural network for a particular issue;
• competence to independently and substantially justify an choice a certain neural network for slowing a particular issue and to interpret the answers of the network.
Compulsory reading
1. Mākslīgie neironu tīkli: arhitektūra, algoritmi un pielietojumi. Māc.līdz. Rīga: RTU. 1998. 109 lpp.
2. Круглов В. В., Борисов В. В. Искусственные нейронные сети. Теория и практика. Москва: Горячая линия - Телеком, 2002. 381 c.
3. Zurada J.M. Introduction of Artificial Neural Systems. St. Paul, West Publishing Company, 1992.
Further reading
1. Медведев В. С., Потемкин В. Г. Нейронные сети МАТLАВ 6. Москва: Диалог-Мифи, 2002. 489 c.
2. Robert Callan. The Essence of Neural Networks. Prentice Hall. 1999.
3. Комашинский В.И., Смирнов Д.А. Нейронные сети и их применение в системах управления и связи. Москва: Горячая линия - Телеком. 2003.