Plastics Engineering

Introduction To Soft Computing Plastics 4th Sem Syllabus for AKTU B.Tech 2019-20 Scheme (Select Subject-3)

Introduction To Soft Computing detail syllabus for Plastics Engineering (Plastics), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (KOE046), 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.

For all the other plastics 4th sem syllabus for b.tech 2019-20 scheme aktu you can visit Plastics 4th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all the other Select Subject-3 subjects do refer to Select Subject-3. The detail syllabus for introduction to soft computing is as follows.

Unit I

Introduction to Soft Computing, Artificial Neural Networks: Basic concepts-Single layer perception-Multilayer Perception-Supervised and Unsupervised learning-Back propagation networks-Kohnen’s self-organizing networks-Hopfield network.

Unit II

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

Unit III

Neuro-Fuzzy Modeling: Adaptive networks based Fuzzy interface systems-Classification and Regression Trees-Data clustering algorithms-Rule based structure identification-Neuro-Fuzzy controls-Simulated annealing-Evolutionary computation.

Unit IV

Genetic Algorithms: Survival of the Fittest-Fitness Computations-Cross over-Mutation-Reproduction-Rank method-Rank space method.

Unit V

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

Text Books:

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

For the detailed syllabus of all the other subjects of B.Tech Plastics, 2019-20 regulation do visit Plastics 4th Sem syllabus for 2019-20 Regulation.

Dont forget to download iStudy for latest syllabus, results, class timetable and more.

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