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Débute 4 June 2026 05:38
Se termine 4 June 2026
Fuzzy Logic And Neural Networks
University of California, San Diego
9 Cours
UC San Diego est une université publique de recherche reconnue pour ses programmes académiques de premier ordre, son corps professoral de classe mondiale et ses recherches innovantes. Avec son campus ensoleillé et son emplacement côtier, c'est l'endroit idéal pour poursuivre des études supérieures.
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Aperçu
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
Enseigné par
Prof. Dilip Kumar Pratihar
