Description
The subject deals with the exploration of artificial neural networks and hybrid neuro-fuzzy system. Theoretical basis for the development of artificial neural networks, as well as some practical examples are included. The practical task is to introduce examples of application of these systems. Students improve their development capabilities, skills, and habits for the usage of artificial neural networks. The following topics are covered: Theoretical Study of Artificial Neural Networks, The Emergence and Development of Neural Computing, Models of Natural and Artificial Neurons, Weighting Coefficients and the Activation Function of Neurons, Types of Artificial Neural Networks, Training, Types and Training Algorithms, Fuzzy Neuron, Examples of Application, Hybrid (fuzzy-neural) Systems, Examples of Specific Neural Networks, and Hybrid Systems.
General information
Study program: Information Technologies - master (optional subject)
ECTS: 4
Semester: 2
Lectures: 2
Exercises: 2
Lecturer
Vladimir Brtka, Assistant professor
Email: vladimir.brtka@tfzr.rs
Course books
- Vladimir Brtka, "Meko raučunarstvo", Tehnički fakultet "Mihajlo Pupin", Zrenjanin, 2013.
- Petar Hotomski, "Sistemi veštačke inteligencije", Tehnički fakultet "Mihajlo Pupin", Zrenjanin, 2006.
- Pero Subašić, "Fazi logika i neuronske mreže", Tehnička knjiga, Beograd, 1997.
- Dubravka Ilić, "Kompresija slike primenom veštačkih neuronskih mreža", magistarski rad, Tehnički fakultet "Mihajlo Pupin", Zrenjanin, 2003.
- Velibor Ilić, "Neuronske mreže za prepoznavanje ćiriličnih slova", magistarski rad, Tehnički fakultet "Mihajlo Pupin", Zrenjanin, 2002.
- Zora Konjović, Đorđe Obradović, "Zbirka zadataka iz predmeta Računarska inteligencija", Univerzitet u Novom Sadu, FTN, 2003.
- Alexander I. Galushkin, "Neural Network Theory", Springer Verlag, 2007.
