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    • Overview

      Prerequisite Courses

      Design and Analysis of Algorithm

      Companion Course

      • 410255-Laboratory Practice IV

      Course Objectives

      • To know the basics behind the Design and development intelligent systems in the framework of soft computing 
      • To acquire knowledge of Artificial Neural Networks Fuzzy sets, Fuzzy Logic, Evolutionary computing and swarm intelligence 
      • To explore the applications of soft computing 
      • To understand the need of optimization

      Course Outcomes

      On completion of the course, student will be able to:

      • Apply soft computing methodologies, including artificial neural networks, fuzzy sets, fuzzy logic, fuzzy inference systems and genetic algorithms 
      • Design and development of certain scientific and commercial application using computational neural network models, fuzzy models, fuzzy clustering applications and genetic algorithms in specified applications.

    • Syllabus and Notes

    •  Unit 1
      Unit 1
       Unit 2
      Unit 2
       Unit 3
      Unit 3
       Unit 4
      Unit 4
       Unit 5
      Unit 5
       Unit 6
      Unit 6

    • Labs and Practicals

      Practicals


      Oral Exam Questions


    • Previous Years' Exams

      Question Papers


      Modal Answer Papers


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    • Forum

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Unit 1: Introduction►