ME60353: Knowledge Based Systems In Engineering

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ME60353
Course name Knowledge Based Systems In Engineering
Offered by Mechanical Engineering
Credits 4
L-T-P 4-0-0
Previous Year Grade Distribution
1
4
2





EX A B C D P F
Semester Autumn


Syllabus

Syllabus mentioned in ERP

Introduction to expert systems – Definition, Need for expert systems, Methods of developing expert system – offline training/learning & on-line training/learning Tools for developing expert systems – Hard Computing vs. Soft Computing, Fuzzy Set Theory, Fuzzy Logic Controllers (FLC), Neural Network (NN) Controllers – back propagation network, SOM, radial basis function networks, recurrent neural networks etc., Learning/optimisation tools – traditional (direct search and gradient based) and non-traditional (genetic algorithms (GAs), simulated annealing etc.) techniques. Combined techniques of soft computing – GA-FLC, GANN, NN-FLC, GA-FLC-NN Some Applications


Concepts taught in class

Student Opinion

Contents of these playlists - 1 and 2 is taught in the classes. Watching those videos at 2X will be enough preparation for exam. Just make sure not to make calculation mistakes in exam. This is a good course to take. Less Load. Easy grade scoring. Grading is absolute, just take care of that.

How to Crack the Paper

Classroom resources

Additional Resources

Time Table

Day 8:00-8:55 am 9:00-9:55 am 10:00-10:55 am 11:00-11:55 am 12:00-12:55 pm 2:00-2:55 pm 3:00-3:55 pm 4:00-4:55 pm 5:00-5:55 pm
Monday
Tuesday
Wednesday NR422
Thursday NR422
Friday NR422 NR422