Basic Information
Structure of Neural Networks, Feedforward/feedback. Learning Methods As Parameter Estimation. Relation to Adaptive Methods In Control, Signal Processing and Classification. Special Characteristics of Neural Networks. Supervised, Reinforced And Unsupervised Learning. Neuro-controllers Distant Teacher Problem. Classifiers For Diagnostics Representation Issues.
Faculty: Mechanical Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
35039 - Signal Processing For Vibrations and Dia or 35188 - Control Theory
Course with no extra credit
Related Books
- Artificial neural networks : theory and applications - Patterson, Dan W.
- Deep learning - Goodfellow, Ian
- Neural networks : a comprehensive Foundation - Haykin, Simon S.,
- Neural networks : a comprehensive foundation - Haykin, Simon S.,
- Neural networks and learning machines - Haykin, Simon S.,
- Neural networks for control
- Neural networks for modelling and control of dynamic systems : a practitioner's handbook
- Neural networks for pattern recognition - Bishop, Christopher M.
- Pattern classification - Duda, Richard O.
Semestrial Information
Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Steven Howard Frankel
Registration Groups
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Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Miriam Zacksenhouse
Exams
Session A: 21-07-2022 09:00 - 12:00- דייויס 433.
- דייויס 430.
Registration Groups
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Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Miriam Zacksenhouse
Exams
Session A: 21-02-2021 09:00 - 12:00 Session B: 18-03-2021 09:00 - 12:00Registration Groups
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