What You Need to Know Before
You Start
Starts 7 June 2025 13:25
Ends 7 June 2025
Fuzzy Logic And Neural Networks
University of California, San Diego
9 Courses
UC San Diego is a public research university renowned for its premier academics, world-class faculty, and innovative research. With its sun-kissed campus and coastal location, it's a perfect place for pursuing higher education.
Not Specified
Optional upgrade avallable
All Levels
Progress at your own speed
Free
Optional upgrade avallable
Overview
Discover the fascinating world of Fuzzy Logic and Neural Networks with our comprehensive course.
Course Highlights:
- Introduction to fuzzy sets and comparison with crisp sets
- Detailed discussion on terms and grammar of fuzzy sets with numerical examples
- Explanation of fuzzy reasoning and fuzzy clustering principles, supplemented by numerical examples
- Fundamentals of neural networks and various learning methods
- In-depth coverage of multi-layer feed forward neural network, radial basis function network, self-organizing map, counter-propagation neural network, recurrent neural network, and deep learning neural network, with appropriate numerical examples
- Methods for evolving optimized fuzzy reasoning tools and neural networks, demonstrated with numerical examples
- Introduction to two popular neuro-fuzzy systems with solved examples
- Course summary
Intended Audience:
This course is designed for students from all engineering disciplines, researchers, and practicing engineers.
Prerequisites:
None.
Industry Support:
Supported by RDCIS, Ranchi; CMERI, Durgapur; Reliance Industries, Mumbai; C-DAC, Kolkata; and others.
University:
University of California, San Diego
Provider:
Swayam
Categories:
Machine Learning Courses, Deep Learning Courses, Neural Networks Courses
Taught by
Prof. Dilip Kumar Pratihar
