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Principles of Softcomputing
Principles of Softcomputing
Course Material
01
Crisp Set theory with Zadeh's notations
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02
Introduction to Fuzzy sets and set operations
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03
Crisp relations and set operations on relations
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04
Fuzzy relations and fuzzy set operations on relations
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05
Fuzzy cross product and fuzzy compositions
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06
Crisp Equivalence and Tolerence relations
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07
Fuzzy Equivalence and Tolerence relations
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08
Lambda-cut and its properties
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09
Defuzzification of fuzzy sets
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10
Fuzzy similarity measures
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11
Fuzzy logic and fuzzy propositional calculus
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12
Fuzzy implications and linguistic hedges
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13
Fuzzy rule based systems (conjunctive and disjunctive systems)
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14
Mamdani's fuzzy inference systems
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15
Fuzzy classification using fuzzy equivalence relations
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16
Hard c-means
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17
Fuzzy clustering: Fuzzy c-means
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18
Genetic Algorithms
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19
Genetic Algorithms (continued)
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20
Introduction to neural Networks
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21
Hebb Learning, delta rule
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22
Rosenblatt perceptron model of neural Networks
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23
Auto associative memory Networks
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24
Implementation of Auto associative memory Networks in MS Excel
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25
Bidirectional associative memory Networks
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26
Hopfield associative memory Networks
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27
Memorization with neural networks
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28
Adaline Networks
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29
Madaline Networks
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30
Madaline Networks (continued)
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Total Lessons
30
Department
CS & IT
About
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Teacher
Dr. Khalid Mahmood Aamir
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Dr. Khalid Mahmood Aamir
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