Introduction to Soft Computing detail syllabus for Handloom & Textile Technology (HTT), 2021-22 scheme is taken from AKTUs official website and presented for the AKTU B.Tech students. For the course code (KOE036-046), exam duration, teaching hr/week, practical hr/week, total marks, internal marks, theory marks, duration, credits, and other details do visit complete semester subjects post given below.
For the HTT 3rd Sem Syllabus for AKTU B.Tech 2021-22 Scheme you can visit HTT 3rd Sem 2021-22 Scheme. For the Select Subject-1 scheme of HTT 3rd Sem 2021-22 regulation do refer to Select Subject-1 HTT 3rd Sem scheme. The detail syllabus for introduction to soft computing is as follows.
Course Outcomes:
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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
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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
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Unit V
APPLICATION OF SOFT M.PUTING Optimiation of traveling salesman problem using Genetic Algorithm, Genetic algorithm based Internet Search Techniques, Soft computing based hybrid fuzzy controller, Introduction to MATLAB Environment for Soft computing Techniques.
Text Books:
- An Introduction to Genetic Algorithm Melanic Mitchell (MIT Press)
- Evolutionary Algorithm for Solving Multi-objective, Optimization Problems (2nd Edition), Collelo, Lament, Veldhnizer ( Springer)
- Fuzzy Logic with Engineering Applications Timothy J. Ross (Wiley)
- Neural Networks and Learning Machines Simon Haykin (PHI)
- Sivanandam, Deepa, ‘ Principles of Soft Computing’, Wiley
- Jang J.S.R, Sun C.T. and Mizutani E, “Neuro-Fuzzy and Soft computing”, Prentice Hall
- Timothy J. Ross, “Fuzzy Logic with Engineering Applications”, McGraw Hill
- Laurene Fausett, “Fundamentals of Neural Networks”, Prentice Hall
- D.E. Goldberg, “Genetic Algorithms: Search, Optimization and Machine Learning”, Addison Wesley
- Wang, ‘Fuzzy Logic’, Springer
For the syllabus of all the subjects of B.Tech HTT 3rd Sem, 2021-22 scheme do visit HTT 3rd Sem syllabus subjects.
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.