Neural Networks and Applications (EE423) Course Details

Course Name: Neural Networks and Applications
Code: EE423
Pre-requisite Course(s):
Objective: •Introduce the main fundamental principles and techniques of neural network systems. •Investigate the principal neural network models and applications.
Content: An introduction to basic neurobiology, the main neural network architectures and learning algorithms, and a number of neural network applications, McCulloch Pitts Neurons, Single Layer Perceptrons, Multi-Layer Perceptrons, Radial Basis Function Networks, Committee Machines, Kohonen Self-Organising Maps, and Learning Vector Quantization
Term: Both
Theory: 3
Application: 0
Laboratory: 0
Credit: 3
ECTS Course File: Course File
Course File: