Module Directory

 

Module Description

 
 
Module Name
Module Code
Lecture Hrs
Practical Hrs
Credits
Neural Networks, Fuzzy Systems and Genetic Algorithms
CSE3010Y(5)
2
2
6

Description
An Overview of Combinatorial Optimization, Theoretical Foundations of Genetic Algorithms, Genetic Algorithms in Engineering and Optimization, Genetic Algorithms in Natural Evolution, Simulated Annealing and Tabu Search. Fuzzy set theory, fuzzy systems, Fuzzy Logic, Fuzzy Inference. Artificial Neural networks, Neural Networks Architectures and Algorithms, Historical perspective (What, Why, When), simple model neurons, learning and generalization, perceptrons, multi-layered perceptrons, radial basis function networks, classification and regression problems, temporal learning, recurrent and self-organizing networks, Neural network simulations using appropriate software (Practical/Laboratory based study), Evolving Neural Networks Implementing Genetic Algorithms
Faculty Department
FACULTY OF ENGINEERING Department of Computer Science and Engineering
Contact Details
Administrative assistant: Mrs. SEEWOOGOBIN NIVEDITA DIMPLE
Telephone: 4037400
Email: aofoe-exams@uom.ac.mu
 

 


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