The structure of the brain. Learning in machines. Pattern recognition.
Classification techniques. Linear classifiers. Basic Neuron. Modeling the single
neuron. The perceptron. The multilayer perceptron. Kohonen self-organizing
network. Hopfield network. Neural network classifiers. Adaptive resonance
theory. Cellular neural networks.
Students will practice and apply neural networks through programming projects.
Preq.: EEE 342 Feedback Control Systems
WARNING
Plagiarism is defined as the action of using or copying someone
else's idea or work and pretending that you thought of it, or created it.
Bilkent University requires that you be aware of the concept and dangers of
plagiarism. In order to conform to international academic standards, you must
respect the individual thoughts, ideas, and expressions of other authors in
sources.
In the homeworks and projects in this course, occurrences of plagiarism will be
seriously dealt with, leading to a zero grade for the work concerned and upon
repetition to a failure in the course, even to punishment through disciplinary
procedures which call for a term or two terms of dispelling from the university.
(Ogrenci Disiplin Ilke ve Kurallari, Madde 8)
You may discuss and exchange ideas related to homework problems and the various
aspects of the term project among yourselves, you may consult to relevant books
and other forms of written material, but the final work must be your own, with
references to the sources utilized.