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Hacettepe University, Department of Electrical and Electronics Engineering
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Course Detail

ELE 785 - Neural Networks

Graduate Course

COVERED TOPICS
  • Knowledge representation and learning paradigms
  • Adaptation and generalization in neural networks
  • The structure of common neural network unit in comparison with the biological neuron
  • Perceptron and multilayer perceptrons
  • Types of backpropagation learning algorithms and their fundamental principles
  • Fuzzy control of backpropagation learning
  • Radial Basis Function (RBF) networks and their learning strategies
  • Temporal processing: temporal backpropagation and recurrent networks
  • Unsupervised networks and their learning rules
  • Application of neural networks in medicine especially in ECG signal processing
  • Recent developments
COURSE FACTS
Course type: Theoretical course
Theoretical hours: 3
Practical hours: 0
Credits: 3
Compulsory / Elective: Elective course
Prerequisite course: No prerequisite course
Course's own Web page: No own Web page

Information given on this page covers the course's formal definition data only. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements. The covered topics shown here may slightly differ from term to term. One should also consult the course's supervisor and/or the course's own Web page -if exists- to have a more detailed and precise information. Additionaly, you may check the document on European Credit Transfer System by clicking the ECTS Information Package link on the menu for related information.
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