Course
| code | CC524 |
| credit_hours | 3 |
| title | Neural Networks |
| arbic title | |
| prequisites | CC112 & BA323 |
| credit hours | 3 |
| Description/Outcomes | Introduction to basic concepts of neural networks. The basic neuron. The multiplayer perception. Artificial neural networks: applications, learning, and architecture. Competitive neural networks. Kohonen self-organizing networks. Adaptive reasoning theory (ART). Hop field neural networks. Neural networks implementation. Neural networks applications. Introduction to MATLAB environment. Single perception, Multiplayer perception, Competitive networks, Kohonen networks, ART networks, And Hop field networks using MATLAB. |
| arabic Description/Outcomes | |
| objectives | This course will provide students with detailed skills to use Artificial neural networks for solving many types of engineering problems such as mapping, clustering, and constrained optimization, in such areas as pattern recognition, signal processing, and control systems. |
| arabic objectives | |
| ref. books | Martin T.Hagan, Howard B. Demuth & Mark Beale, Neural Networks:Design, Reprinted, 2002 |
| arabic ref. books | |
| textbook | M. T. Hogan, H. Demuth, neural networks design, 1996.rnRobert R. Trippi, Efraim Turban, Neural Networks In Finance and Investing, McGraw-Hill, 1996rn |
| arabic textbook | |
| objective set | combined |
| content set | combined |
| course file |
65_CC524_CC 524.pdf |
Course Content
| content serial |
Description |
| 1 |
Week Number 1 : Introduction to basic concepts of neural networks.
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| 2 |
Week Number 2 : Single PERCEPTRON.
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| 3 |
Week Number 3 : The multilayer PERCEPTRON.
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| 4 |
Week Number 4 : Artificial neural networks: applications, learning rules, and architecture.
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| 5 |
Week Number 5 : Competitive neural networks.
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| 6 |
Week Number 6 : KOHONEN self-organizing networks.
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| 7 |
Week Number 7 : 7th week Exam + Revision.
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| 8 |
Week Number 8 : Adaptive reasoning theory (ART).
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| 9 |
Week Number 9 : Adaptive reasoning theory (ART).
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| 10 |
Week Number 10 : Hopfield neural networks.
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| 11 |
Week Number 11 : Neural networks implementation.
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| 12 |
Week Number 12 : 12th week Exam + Revision.
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| 13 |
Week Number 13 : Neural networks applications.
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| 14 |
Week Number 14 : Neural networks applications.
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| 15 |
Week Number 15 : Presentation of projects and Final Exam.
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| 16 |
Week Number 16 : Presentation of projects and Final Exam.
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