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Beginnt 4 June 2026 02:17
Endet 4 June 2026
Fuzzy Logic And Neural Networks
University of California, San Diego
9 Kurse
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.
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Übersicht
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
Unterrichtet von
Prof. Dilip Kumar Pratihar
