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Sl.No Chapter Name MP4 Download Transcript Download
1Lecture 1 Introduction to soft computingDownloadDownload
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2Lecture 2 : Introduction to Fuzzy LogicDownloadDownload
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3Lecture 3 : Fuzzy membership functions (Contd.) and Defining Membership functionsDownloadDownload
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4Lecture 4 : Fuzzy operationsDownloadDownload
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5Lecture 5 : Fuzzy relationsDownloadDownload
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6Lecture 6 : Fuzzy Relations (contd.) & Fuzzy propositionsDownloadDownload
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7Lecture 7 : Fuzzy implicationsDownloadDownload
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8Lecture 8 : Fuzzy InferencesDownloadDownload
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9Lecture 9 : Defuzzification techniques (Part-I)DownloadDownload
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10Lecture 10 : Defuzzification Techniques (Part-I) (contd.)DownloadDownload
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11Lecture 11 : Fuzzy logic controllerDownloadDownload
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12Lecture 12 : Fuzzy Logic Controller (Contd.)DownloadDownload
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13Lecture 13 : Fuzzy logic controller (Cond.)DownloadDownload
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14Lecture 14 : Concept of Genetic AlgorithmDownloadDownload
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15Lecture 15 : Concept of Genetic Algorithm (Contd.) and GA StrategiesDownloadDownload
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16Lecture 16 : GA Operator : Encoding schemesDownloadDownload
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17Lecture 17 : GA operator : encoding scheme (contd.)DownloadDownload
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18Lecture 18 : GA Operator : SelectionDownloadDownload
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19Lecture 19 : GA Operator Selection (Contd.)DownloadDownload
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20Lecture 20 : GA Operator: Crossover techniquesDownloadDownload
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21Lecture 21 : GA Operator : Crossover (Contd.)DownloadDownload
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22Lecture 22 : GA Operator : Crossover (Contd.)DownloadDownload
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23Lecture 23 : GA Operator : Mutation and othersDownloadDownload
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24Lecture 24 : Multi-objective optimization problem solvingDownloadDownload
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25Lecture 25 : Multi-objective optimization problem solving (Contd.)DownloadDownload
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26Lecture 26 : Concept of dominationDownloadDownload
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27Lecture 27 : Non-Pareto based approaches to solve MOOPsDownloadDownload
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28Lecture 28 : Non-Pareto based approaches to solve MOOPs (Contd.)DownloadDownload
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29Lecture 29 : Pareto-Based approaches to solve MOOPsDownloadDownload
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30Lecture 30 : Pareto-based approaches to solve MOOPs (contd..)DownloadDownload
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31Lecture 31 : Pareto-based approach to solve MOOPsDownloadDownload
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32Lecture 32 : Pareto-based approach to solve MOOPs (contd.)DownloadDownload
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33Lecture 33 : Pareto-based approach to solve MOOPs (contd)DownloadDownload
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34Lecture 34 : Introduction to Artificial Neural NetworkDownloadDownload
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35Lecture 35 : ANN ArchitecturesDownloadDownload
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36Lecture 36 : Training ANNsDownloadDownload
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37Lecture 37 : Training ANNs (Contd..)DownloadDownload
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38Lecture 38 : Training ANNs (Contd..)DownloadDownload
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39Lecture 39 : Training ANNs (Contd..)DownloadDownload
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40Lecture 40 : Soft computing toolsDownloadDownload
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