Introduction to neural Networks
Course Material
- Crisp Set theory with Zadeh's notations
- Introduction to Fuzzy sets and set operations
- Crisp relations and set operations on relations
- Fuzzy relations and fuzzy set operations on relations
- Fuzzy cross product and fuzzy compositions
- Crisp Equivalence and Tolerence relations
- Fuzzy Equivalence and Tolerence relations
- Lambda-cut and its properties
- Defuzzification of fuzzy sets
- Fuzzy similarity measures
- Fuzzy logic and fuzzy propositional calculus
- Fuzzy implications and linguistic hedges
- Fuzzy rule based systems (conjunctive and disjunctive systems)
- Mamdani's fuzzy inference systems
- Fuzzy classification using fuzzy equivalence relations
- Hard c-means
- Fuzzy clustering: Fuzzy c-means
- Genetic Algorithms
- Genetic Algorithms (continued)
- Introduction to neural Networks
- Hebb Learning, delta rule
- Rosenblatt perceptron model of neural Networks
- Auto associative memory Networks
- Implementation of Auto associative memory Networks in MS Excel
- Bidirectional associative memory Networks
- Hopfield associative memory Networks
- Memorization with neural networks
- Adaline Networks
- Madaline Networks
- Madaline Networks (continued)
- Chapters 30
- Department CS & IT
- Teacher
Dr. Khalid Mahmood Aamir
