Soft Computing detailed syllabus scheme for Electronics & Telecommunication Engineering (ET), 2020-21 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 7th Sem Scheme of Electronics & Telecommunication Engineering (ET), 2020-21 Onwards, do visit ET 7th Sem Scheme, 2020-21 Onwards. For the Elective-V scheme of 7th Sem 2020-21 onwards, refer to ET 7th Sem Elective-V Scheme 2020-21 Onwards. The detail syllabus for soft computing is as follows.
Soft Computing Syllabus for Electronics & Telecommunication Engineering (ET) 4th Year 7th Sem 2020-21 DBATU
Course Objectives:
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Course Outcomes:
After the successful completion of this course, students will be able to:
- Use a new tool /tools to solve a wide variety of real world problems.
- Find an alternate solution, which may offer more adaptability, resilience and optimization.
- Identify the suitable antenna for a given communication system.
- Gain knowledge of soft computing domain which opens up a whole new career option.
- Tackle real world research problems.
UNIT – 1
Artificial Neural Network -I: Biological neuron, Artificial neuron model, concept of bias and threshold, McCulloch- Pits Neuron Model, implementation of logical AND, OR, XOR functions Soft Topologies of neural networks, learning paradigms: supervised, unsupervised, reinforcement, Linear neuron model: concept of error energy, gradient descent algorithm and application of linear neuron for linear regression, Activation functions: binary, bipolar (linear, signup, log sigmoid, tan sigmoid)Learning mechanisms: Hebbian, Delta Rule o Perceptron and its limitations Draft.
UNIT – 2
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UNIT – 3
Fuzzy Logic -I: Concept of Fuzzy number, fuzzy set theory (continuous, discrete) o Operations on fuzzy sets, Fuzzy membership functions (core, boundary, and support), primary and composite linguistic terms, Concept of fuzzy relation, composition operation (T-norm,T-conorm) o Fuzzy if-then rules.
UNIT – 4
Fuzzy Logic -II: Fuzzification, Membership Value Assignment techniques, De-fuzzification (Max membership principle, Centroid method, Weighted average method), Concept of fuzzy inference, Implication rules- Dienes-Rescher Implication, Mamdani Implication, Zadeh Implication, Fuzzy Inference systems -Mamdani fuzzy model, Sugeno fuzzy model , Tsukamoto fuzzy model, Implementation of a simple two-input single output FIS employing Mamdani model Computing.
UNIT – 5
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UNIT – 6
Adaptive Neuro-Fuzzy Inference Systems (ANFIS): ANFIS architecture, Hybrid Learning Algorithm, Advantages and Limitations of ANFIS Application of ANFIS/CANFIS for regression.
Text Books:
- Fundamentals of Neural Networks: Architectures, Algorithms and Applications, Laurene Fausett, Pearson Education, Inc, 2008.
- Fuzzy Logic with Engineering Applications, Third Edition Thomas, Timothy Ross, John Wiley & Sons, 2010.
- Neuro- Fuzzy and Soft Computing, J.S. Jang, C.T. Sun, E. Mizutani, PHI Learning Private Limited.
- Principles of Soft Computing, S. N. Sivanandam, S. N. Deepa, John Wiley & Sons, 2007.
- Introduction to the theory of neural computation, John Hertz, Anders Krogh, Richard Palmer, Addison -Wesley Publishing Company, 1991.
- Neural Networks A comprehensive foundation,, Simon Haykin, Prentice Hall International Inc-1999.
- Neural and Adaptive Systems: Fundamentals through Simulations, Jose C. Principe Neil R. Euliano, W. Curt Lefebvre, John-Wiley & Sons, 2000.
- Pattern Classification, Peter E. Hart, David G. Stork Richard O. Duda, Second Edition, 2000.
- Pattern Recognition, Sergios Theodoridis, Konstantinos Koutroumbas, Fourth Edition, Academic Press, 2008.
- A First Course in Fuzzy Logic, Third Edition, Hung T. Nguyen, Elbert A. Walker, Taylor & Francis Group, LLC, 2008.
- Introduction to Fuzzy Logic using MATLAB, S. N. Sivanandam, S. Sumathi, S. N. Deepa, Springer Verlag, 2007.
For detail syllabus of all subjects of Electronics & Telecommunication Engineering (ET) 7th Sem 2020-21 onwards, visit ET 7th Sem Subjects of 2020-21 Onwards.