B.E Artificial Intelligence and Machine Learning Neural Networks and Fuzzy Systems Lab Syllabus - Mumbai University 2026
This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.
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Syllabus for Neural Networks and Fuzzy Systems Lab
Module 2: Demonstrate difference between two Fuzzy Sets.
Module 3: Implement Fuzzy membership functions.
Module 4: Implement Fuzzy Inference system (FIS).
Module 5: Implement any De-fuzzification of membership method.
Module 6: Implement Bidirectional Associative Memory(BAM) Network
Module 7: Implement Radial basis function network.
Module 8: Implement Basic Neural Network learning rules.
Module 9: Implement any Unsupervised Learning algorithm.
Module 10: Implement Kohonen Self- Organizing Feature Maps
Module 11: Implement a Probabilistic Neural Network.
Module 12: Implement any Ensemble neural model.
Module 13: Design any one Neuro-Fuzzy system.
Useful Links
- 1 https://onlinecourses.nptel.ac.in/noc21_ge07/preview
- 2 http://www.nitttrc.edu.in/nptel/courses/video/127105006/L25.html
- 3 https://archive.nptel.ac.in/courses/108/104/108104157/
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording is as printed in that syllabus. Module numbering is as printed there too.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.