ECE 521 Fault-Tolerant
Computer Design
ECE 522 VLSI Circuit Testing
ECE 523 Low Power VLSI
Design
ECE 524 Synthesis &
Verification of Digital
Circuits
ECE 525 Physical Design
Automation
ECE 526 Network Processing Systems
Design
ECE 527 Switching Circuit
Theory
ECE 528 Advanced Computer
Architecture
ECE 529 Analog-to-Digital
Conversion &
Related Devices
ECE 531 Mixed-Signal VLSI
Design
ECE 532 Optimization Aspects
of Computer
Architecture
ECE 540 CMOS Radio-Frequency
Integrated Circuit Disigner II
ECE 542 Optical Information
Processing
ECE 543 Analog VLSI
ECE 545 Advanced Semiconductor Devices
ECE 546 Gaseous Electronics
ECE 547 Solid-State Theory
of Electronic
Materials
ECE 548 Advanced Electronic
Devices
ECE 549 Fiber Optic
Communications
ECE 551 Probability & Random
Processes
ECE 552 Detection Theory
ECE 553 Data Communication
Networks
ECE 554 Spread Spectrum
Communication
ECE 555 Information Theory
ECE 556 Digital
Communications
ECE 558 Digital Image
Processing I
ECE 563 Estimation Theory &
Filtering
ECE 564 Optimal Control
ECE 565 Nonlinear Systems
Analysis
ECE 566 Adaptive Control
ECE 568 Pattern
Classification
ECE 571 Wireless & Personal
Communication Systems
ECE 572 Neural Networks
ECE 573 Fields & Waves II
ECE 574 Nonlinear Optics
ECE 576 Numerical
Electromagnetics
ECE 577 Antennas II
ECE 578 Digital Image
Processing II
ECE 579 Microwave
Engineering II
ECE 580 Seminar
ECE 582 HVDC Transmission
ECE 583 Advanced
Applications of Power
Electronic Systems
ECE 584 Linear & Non-Linear
Networks
ECE 586 Power Systems
Analysis II
ECE 587 Power Systems
Operation &
Control
ECE 588 Advanced Electrical Network
Theory
ECE 589 Planning &
Automation of Electric
Power Distribution System
ECE 592 Special
Investigation in Elect &
Computer Engineering
ECE 593 Advanced Topics in Elect &
Computer Engineering
ECE 599 Master of Science Thesis
ECE 600 Doctoral Dissertation
ECE 601 Continuing Enrollment
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ECE 572 Neural Networks
Anatomy and physiology of the cerebral cortex. Feed-forward Networks, Linear Associator, Multilayer Peceptrons. Feedback networks, Hopfield Networks, ART. Applications to pattern recognition, robotics and speech processing. Optical and electronic implementations.
Credit Hours: 3 Lecture
Prerequisites: MATH 305 or consent of instructor
Course Coordinator:
Mohammad R. Sayeh
Textbooks:
"Neural Networks:
A Comprehensive Foundation, Second Edition", Simon Haykin, Prentice Hall, 1999,
ISBN: 0-13-273350-1.
References:
"Neurocomputing, Foundations of Research", Edited by: J. A. Anderson and E. Rosenfeld, The MIT Press, Cambridge, MA, 1988. -
"Neurocomputing 2, Directions for Research", Edited by: J. A. Anderson, A. Pellionisz, and E. Rosenfeld, The MIT Press, Cambridge, MA, 1990.
-
"Neural Network Design", M. T. Hagan, H. B. Demuth, and M. Beale, ITP, Boston, 1996.
Goals:
This course introduces graduate students to artificial neural networks and their application and implementation.
Projects:
Simulation of Single-Layer Network as the OR Gate. -
Simulation of Two-Layer Network as XOR Gate.
-
Simulation of Hopfield Network.
-
Simulation of Kohonen Network.
-
Group Project: Abstract, Progress Report, Presentation, and Final Report.
Last Review: Spring Semester 2004
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