X

Fuzzy Logic and Neural Networks

By Prof. Dilip Kumar Pratihar   |   IIT Kharagpur
Learners enrolled: 1916   |  Exam registration: 746
ABOUT THE COURSE : This course will start with a brief introduction to fuzzy sets. The differences between fuzzy sets and crisp sets will be identified. Various terms used in the fuzzy sets and the grammar of fuzzy sets will be discussed, in detail, with the help of some numerical examples. The working principles of two most popular applications of fuzzy sets, namely fuzzy reasoning and fuzzy clustering will be explained, and numerical examples will be solved. Fundamentals of neural networks and various learning methods will then be discussed. The principles of multi-layer feed  forward neural network, radial basis function network, self-organizing map, counter-propagation neural network, recurrent neural network, deep learning neural network will be explained with appropriate numerical examples. The method of evolving optimized fuzzy reasoning tools, neural networks will be discussed with the help of some numerical examples. Two popular neuro-fuzzy systems will be explained and numerical examples will be solved. A summary of the course will be given at the end.

INTENDED AUDIENCE : Students belonging to all disciplines of Engineering, Researchers and practicing Engineers can take this course.

INDUSTRY SUPPORT : RDCIS, Ranchi CMERI, Durgapur Reliance Industries, Mumbai C-DAC, Kolkata, and others
Summary
Course Status : Completed
Course Type : Elective
Language for course content : English
Duration : 8 weeks
Category :
  • Multidisciplinary
Credit Points : 2
Level : Undergraduate/Postgraduate
Start Date : 20 Jan 2025
End Date : 14 Mar 2025
Enrollment Ends : 03 Feb 2025
Exam Registration Ends : 14 Feb 2025
Exam Date : 22 Mar 2025 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.


Page Visits



Course layout

Week 1  :  Introduction to Fuzzy Sets
Week 2  :  Introduction to Fuzzy Sets (contd.); Fuzzy reasoning
Week 3  :  Fuzzy reasoning (contd.); Fuzzy clustering
Week 4  :  Fuzzy clustering (contd.); Fundamentals of Neural Networks
Week 5  :  Multi-layer Feed-Forward Neural Network; Radial Basis FunctionNetwork
Week 6  :  Self-Organizing Map; Counter-Propagation Neural Network;Recurrent Neural Networks; Deep Learning Neural Network
Week 7  :  Genetic-Fuzzy system; Genetic-Neural System
Week 8  :  Neuro-Fuzzy System; Concepts of Soft Computing andComputational Intelligence; Summary of the Course

Books and references


•  Soft Computing: Fundamentals and Applications by D.K.Pratihar, Narosa Publishing House, New-Delhi, 2014

•  Fuzzy Sets and Fuzzy Logic: Theory and Applications byGeorge J. Klir, Bo Yuan, Prentice Hall, 1995

•  Neural Networks: A Comprehensive Foundation by S. Haykin,Prentice Hall PTR Upper Saddle River, NJ, USA, 1994   

Instructor bio

Prof. Dilip Kumar Pratihar

IIT Kharagpur
Prof. Dilip Kumar Pratihar BE (Hons.) and M. Tech. from REC (NIT) Durgapur, India, in 1988 and 1994, respectively. I obtained my Ph.D. from IIT Kanpur, India, in 2000. I received National Scholarship (1982-88), University Gold Medal (1988), A.M. Das Memorial Medal (1987), Institution of Engineers’ (I) Medal (2002), Shastri Fellowship (Indo-Canadian) in 2019, INSA Teachers’ Award 2020, New Code Of Education 2021 Award, Distinguished Alumnus Award 2021 of NIT Durgapur, VASVIK Award (2022), Institution Chair Professor Award 2022 and Faculty Excellence Award 2023 from IIT Kharagpur, Technologist of the Year 2022 from IEEE India Council, Mentor-ship of two Chanakya Fellowship Projects (2022, 2023) and others. I completed my post-doctoral studies in Japan and then, in Germany under the Alexander von Humboldt Fellowship Programme. I received. I was listed among the World’s Top 2% Scientists in the areas of Image Analysis and Artificial Intelligence, in a survey carried out by Stanford University, USA, in 2021, 2022, 2023; the Outstanding Researcher 2021 (h-index and award) reported by www.research.com. I am working now as a Professor (HAG scale) of IIT Kharagpur, India. My research areas include robotics, soft computing and manufacturing science. I have published more than 320 papers and book-chapters. I have written the textbooks on “Soft Computing” and “Fundamentals of Robotics and AI”, co- authored another textbook on “Analytical Engineering Mechanics”, edited a book on “Intelligent and Autonomous Systems”, co-authored reference books on “Modeling and Analysis of Six-legged Robots”; “Modeling and Simulations of Robotic Systems Using Soft Computing”; “Modeling and Analysis of Laser Metal Forming Processes by Finite Element and Soft Computing Methods” and “Multibody Dynamic Modeling of Multi-legged Robots”. My textbook on “Soft Computing” had been translated into Chinese language in 2009. I have guided 27 PhDs. I am Associate Editor of two and Member of Editorial board of six International Journals. I have been elected as Fellow of Indian National Academy of Engineering (FNAE), Fellow of the Institution of Engineers’ (I) (FIE), MASME and SMIEEE. I have completed 29 sponsored (funded by DST, DAE, MHRD) and consultancy projects. I have filed five patents (out of which, one has been granted), and applied for two Copyrights (out of which. One has been granted).

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: March 22, 2025 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 6 assignments out of the total 8 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

Please note that assignments encompass all types (including quizzes, programming tasks, and essay submissions) available in the specific week.

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Kharagpur .It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team


MHRD logo Swayam logo

DOWNLOAD APP

Goto google play store

FOLLOW US