WR 809

Course Name: 

Soft Computing in Civil Engineering




Elective Courses (Ele)

Credits (L-T-P): 



  • Fuzzy logic-Classical sets and fuzzy sets, fuzzy sets operations, fuzzy relations, Membership functions, de- fuzzification, fuzzy rule based systems, Applications.
  • Artificial neural network-Model of a neuron, learning rules, activation functions, single layer perceptron networks, multilayer feed forward networks, back-propagation algorithm, Hopfield networks, Applications.
  • Genetic algorithm-Fitness function, genetic algorithm operators- reproduction, crossover, mutation, schemata and schema theorem, Applications.


Ross T.J., Fuzzy logic with engineering applications-McGraw Hill, 1995
Haykin S., Neural networks-a comprehensive foundation-Prentice Hall,2nd edition, 1998.
Goldberg D., Genetic algorithms- Addison-Wesley, 1st edition,1989.


Applied Mechanics and Hydraulics

Contact us

Dr. B.M.Dodamani., Professor and Head
Department of Water Resources & Ocean Engg
(Formerly Applied Mechanics & Hydraulics), NITK, Surathkal
P. O. Srinivasnagar, Mangaluru - 575 025
Karnataka, India.
Hot line: +91-0824-2474050
Email: hodwroe[AT]nitk[DOT]edu[DOT]in

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