Neural Networks and Fuzzy Systems
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Follow on Instagram for UpdatesNeural Networks and Fuzzy Systems Syllabus — Unit-wise Content
The official GTU curriculum for Neural Networks and Fuzzy Systems (subject code 2184103) as prescribed for Robotics · Semester 8 divides the course into 5 units, covering 33 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2184103)Unit 1 INTRODUCTION TO NEURAL NETWORKS
- - Differences between Biological and Artificial Neural Networks Typical Architecture
- Common Activation Functions
- McCulloch - Pitts Neuron
- Simple Neural Nets for Pattern Classification
- Linear Separability - Hebb Net, Perceptron
- Madeline - Architecture
- algorithm, and Simple Applications
Unit 2 PATTERN ASSOCIATION
- - Training Algorithms for Pattern Association - Hebb rule and Delta rule
- Hetero associative
- Auto associative and Iterative Auto Associative Net, Bidirectional Associative Memory - Architecture
- Algorithm, and Simple Applications
Unit 3 COMPETITION, ADAPTIVE RESONANCE AND BACK
- PROPAGATION NEURAL NETWORKS: - Kohonen Self Organising Maps
- Learning Vector Quantization
- Counter Propagation - Architecture
- Algorithm and Applications - ART1 and ART2 - Basic Operation and Algorithm
- Standard Backpropagation Architecture
- derivation of Learning Rules
- Boltzmann Machine Learning Architecture
- Algorithm and Simple Applications
Unit 4 CLASSICAL AND FUZZY SETS AND RELATIONS
- - Properties and Operations on Classical and Fuzzy Sets
- Crisp and Fuzzy Relations - Cardinality
- Properties and Operations
- Tolerance and Equivalence Relations
- Simple Problems
Unit 5 MEMBERSHIP FUNCTIONS
- - Features of membership function
- Standard forms and Boundaries
- membership value assignments
- Fuzzy to Crisp Conversions
- Lambda Cuts for fuzzy sets and relations
- Defuzzification methods
- Strategies in small industry – Expansion
- Joint Venture
- Merger and Sub Contracting
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