8th Sem, EIE

18EI81: Neural Network and Fuzzy Logic Systems EIE Syllabus for BE 8th Sem 2018 Scheme VTU

Neural Network and Fuzzy Logic Systems detailed Syllabus for Electronics & Instrumentation Engineering (EIE), 2018 scheme has been taken from the VTUs official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.

For all other VTU EIE 8th Sem Syllabus for BE 2018 Scheme, do visit VTU EIE 8th Sem Syllabus for BE 2018 Scheme Subjects. The detailed Syllabus for neural network and fuzzy logic systems is as follows.

Module -1

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.
Get it on Google Play.

Module -2

Hebb Network and simple problems, Supervised Learning Network – Introduction -Perceptron Networks, Adaptive Linear Neuron (Adaline), Multiple Adaptive Linear Neurons.

Module -3

Back -Propagation Network. – Theory, Architecture, Flowchart for training process, Training Algorithm, Learning Factors of Back-Propagation Network, Testing Algorithm of Back-Propagation Network. Radial Basis Function Network, Time Delay Neural Network, Functional Link Networks, Tree Neural Networks, wavelet neural network.

Module -4

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.
Get it on Google Play.

Module -5

Membership Functions – Introduction, Features of the Membership functions, Fuzzication, Methods of Membership Value Assignments, Simple Problems Defuzzification- Introduction, Lamba-cuts for Fuzzy sets (Alpha-Cuts), Lamba-Cuts for Fuzzy Relation, Defuzzification Methods. Fuzzy Logic Control Systems – Introduction, Control System Design, Architecture and Operation of FLC system, FLC system Models, Application of FLC systems.

Course Outcomes:

After studying this course, students will be able to:

  1. Compare and contrast the biological neural network and ANN.
  2. Discuss the ANN for pattern classification.
  3. Develop and configure ANN’swith different types of functions and learning algorithms.
  4. Apply ANN for real world problems.
  5. Discuss the fundamentals of fuzzy logic, implementation and their functions
  6. Apply fuzzy logic concepts in building automated control systems.

Question Paper Pattern:

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.
Get it on Google Play.

Text Books:

  1. S. N. Sivanandam and S.N. Deepa, Principles of Soft Computing, 2nd Edition, Wiley India Pvt. Ltd.-2014.
  2. Timothy J. Ross, Fuzzy logic with engineering applications, McGraw Hill International Edition, 1997

Reference Books:

  1. Simon Haykin, Neural Networks: A comprehensive foundation, 2nd Edition, PHI, 1998.

For detail Syllabus of all other subjects of BE 8th Sem Electronics & Instrumentation Engineering, visit (EIE) 8th Sem Syllabus Subjects.

For all (CBSE & Non-CBSC) BE results, visit VTU BE all semester results direct links.

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