{"id":6390,"date":"2020-02-10T03:53:29","date_gmt":"2020-02-10T03:53:29","guid":{"rendered":"https:\/\/www.inspirenignite.com\/up\/introduction-to-soft-computing-me-3rd-sem-syllabus-for-aktu-b-tech-2019-20-scheme-select-subject-1\/"},"modified":"2020-02-10T03:53:29","modified_gmt":"2020-02-10T03:53:29","slug":"introduction-to-soft-computing-me-3rd-sem-syllabus-for-aktu-b-tech-2019-20-scheme-select-subject-1","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/up\/introduction-to-soft-computing-me-3rd-sem-syllabus-for-aktu-b-tech-2019-20-scheme-select-subject-1\/","title":{"rendered":"Introduction To Soft Computing ME 3rd Sem Syllabus for AKTU B.Tech 2019-20 Scheme (Select Subject-1)"},"content":{"rendered":"

Introduction To Soft Computing detail syllabus for Mechanical Engineering (ME), 2019-20 scheme is taken from AKTU<\/a> official website and presented for AKTU students. The course code (KOE036), and for exam duration, Teaching Hr\/Week, Practical Hr\/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.<\/p>\n

For all the other me 3rd sem syllabus for b.tech 2019-20 scheme aktu you can visit ME 3rd Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects<\/a>. For all the other Select Subject-1 subjects do refer to Select Subject-1<\/a>. The detail syllabus for introduction to soft computing is as follows.<\/p>\n

Unit I<\/h4>\n

Introduction to Soft Computing, Artificial Neural Networks: Basic concepts-Single layer perception-Multi layer Perception-Supervised and Unsupervised learning-Back propagation networks-Kohnen’s self-organizing networks-Hopfield network.\n<\/p>\n

Unit II<\/h4>\n

For complete syllabus, results, class timetable and more kindly download iStudy<\/a>. It is a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.<\/b><\/p>\n

Unit III<\/h4>\n

Neuro-Fuzzy Modelling: Adaptive networks based Fuzzy interface systems-Classification and Regression Trees-Data clustering algorithms-Rule based structure identification-Neuro-Fuzzy controls-Simulated annealing-Evolutionary computation.\n<\/p>\n

Unit IV<\/h4>\n

Genetic Algorithms: Survival of the Fittest-Fitness Computations-Cross over-Mutation-Reproduction-Rank method-Rank space method.\n<\/p>\n

Unit V<\/h4>\n

For complete syllabus, results, class timetable and more kindly download iStudy<\/a>. It is a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.<\/b><\/p>\n

Course Outcomes:<\/h4>\n

At the end of course, the student will be able to understand:\t\t<\/p>\n

    \n
  1. Comprehend the fuzzy logic and the concept of fuzziness involved in various systems and fuzzy set theory.<\/li>\n
  2. Understand the concepts of fuzzy sets, knowledge representation using fuzzy rules, approximate reasoning, fuzzy inference systems, and fuzzy logic.<\/li>\n
  3. Describe with genetic algorithms and other random search procedures useful while seeking global optimum in self learning situations.<\/li>\n
  4. Understand appropriate learning rules for each of the architectures and learn several neural network paradigms and its applications.<\/li>\n
  5. Develop some familiarity with current research problems and research methods in Soft Computing Techniques.<\/li>\n<\/ol>\n

    Text Books:<\/h4>\n
      \n
    1. An Introduction to Genetic Algorithm Melanic Mitchell (MIT Press).<\/li>\n
    2. Evolutionary Algorithm for Solving Multi-objective, Optimization Problems (2nd Edition), Collelo, Lament, Veldhnizer ( Springer).<\/li>\n
    3. Fuzzy Logic with Engineering Applications Timothy J. Ross (Wiley).<\/li>\n
    4. Neural Networks and Learning Machines Simon Haykin (PHI).<\/li>\n
    5. Sivanandam, Deepa, Principles of Soft Computing, Wiley.<\/li>\n
    6. Jang J.S.R, Sun C.T. and Mizutani E, “Neuro-Fuzzy and Soft computing”, Prentice Hall.<\/li>\n
    7. Timothy J. Ross, “Fuzzy Logic with Engineering Applications”, McGraw Hill.<\/li>\n
    8. Laurene Fausett, “Fundamentals of Neural Networks”, Prentice Hall.<\/li>\n
    9. D.E. Goldberg, “Genetic Algorithms: Search, Optimization and Machine Learning”, Addison Wesley.<\/li>\n
    10. Wang, Fuzzy Logic, Springer.<\/li>\n<\/li>\n<\/ol>\n

      For the detailed syllabus of all the other subjects of B.Tech Me, 2019-20 regulation do visit Me 3rd Sem syllabus for 2019-20 Regulation<\/a>.<\/p>\n

      Dont forget to download iStudy<\/a> for latest syllabus, results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"

      Introduction To Soft Computing detail syllabus for Mechanical Engineering (ME), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (KOE036), and for exam […]<\/p>\n","protected":false},"author":2300,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[63],"tags":[],"class_list":["post-6390","post","type-post","status-publish","format-standard","hentry","category-me"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts\/6390","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/users\/2300"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/comments?post=6390"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts\/6390\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/media?parent=6390"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/categories?post=6390"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/tags?post=6390"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}