Neural Networks

  • Computer Engineering |

Description

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.

Program

Bachelor Degree in Computer Engineering

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.

Textbook

Data will be available soon!

Course Content

content serial Description
1Week Number 1 : Introduction to basic concepts of neural networks.
2Week Number 2 : Single PERCEPTRON.
3Week Number 3 : The multilayer PERCEPTRON.
4Week Number 4 : Artificial neural networks: applications, learning rules, and architecture.
5Week Number 5 : Competitive neural networks.
6Week Number 6 : KOHONEN self-organizing networks.
7Week Number 7 : 7th week Exam + Revision.
8Week Number 8 : Adaptive reasoning theory (ART).
9Week Number 9 : Adaptive reasoning theory (ART).
10Week Number 10 : Hopfield neural networks.
11Week Number 11 : Neural networks implementation.
12Week Number 12 : 12th week Exam + Revision.
13Week Number 13 : Neural networks applications.
14Week Number 14 : Neural networks applications.
15Week Number 15 : Presentation of projects and Final Exam.
16Week Number 16 : Presentation of projects and Final Exam.
1Week Number 1 : Introduction to basic concepts of neural networks.
2Week Number 2 : Single PERCEPTRON.
3Week Number 3 : The multilayer PERCEPTRON.
4Week Number 4 : Artificial neural networks: applications, learning rules, and architecture.
5Week Number 5 : Competitive neural networks.
6Week Number 6 : KOHONEN self-organizing networks.
7Week Number 7 : 7th week Exam + Revision.
8Week Number 8 : Adaptive reasoning theory (ART).
9Week Number 9 : Adaptive reasoning theory (ART).
10Week Number 10 : Hopfield neural networks.
11Week Number 11 : Neural networks implementation.
12Week Number 12 : 12th week Exam + Revision.
13Week Number 13 : Neural networks applications.
14Week Number 14 : Neural networks applications.
15Week Number 15 : Presentation of projects and Final Exam.
16Week Number 16 : Presentation of projects and Final Exam.
1Week Number 1 : Introduction to basic concepts of neural networks.
2Week Number 2 : Single PERCEPTRON.
3Week Number 3 : The multilayer PERCEPTRON.
4Week Number 4 : Artificial neural networks: applications, learning rules, and architecture.
5Week Number 5 : Competitive neural networks.
6Week Number 6 : KOHONEN self-organizing networks.
7Week Number 7 : 7th week Exam + Revision.
8Week Number 8 : Adaptive reasoning theory (ART).
9Week Number 9 : Adaptive reasoning theory (ART).
10Week Number 10 : Hopfield neural networks.
11Week Number 11 : Neural networks implementation.
12Week Number 12 : 12th week Exam + Revision.
13Week Number 13 : Neural networks applications.
14Week Number 14 : Neural networks applications.
15Week Number 15 : Presentation of projects and Final Exam.
16Week Number 16 : Presentation of projects and Final Exam.
1Week Number 1 : Introduction to basic concepts of neural networks.
2Week Number 2 : Single PERCEPTRON.
3Week Number 3 : The multilayer PERCEPTRON.
4Week Number 4 : Artificial neural networks: applications, learning rules, and architecture.
5Week Number 5 : Competitive neural networks.
6Week Number 6 : KOHONEN self-organizing networks.
7Week Number 7 : 7th week Exam + Revision.
8Week Number 8 : Adaptive reasoning theory (ART).
9Week Number 9 : Adaptive reasoning theory (ART).
10Week Number 10 : Hopfield neural networks.
11Week Number 11 : Neural networks implementation.
12Week Number 12 : 12th week Exam + Revision.
13Week Number 13 : Neural networks applications.
14Week Number 14 : Neural networks applications.
15Week Number 15 : Presentation of projects and Final Exam.
16Week Number 16 : Presentation of projects and Final Exam.

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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