MAC - 926 - NIT Arunachal Pradesh

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NATIONAL INSTITUTE OF TECHNOLOGY, ARUNACHAL PRADESH, YUPIA, Pin-791112
(Established by MHRD, Govt. of India)
Website : www.nitap.in, Fax No: (0360) 2284972
E-Mail: nitarunachal@gmail.com / admin@nitap.in
Exercises Proposed for teaching in (Jan – May, 2016 Semester)
1. Name of the Teacher: Moumita Das
2. Department
Computer Science & Engineering
3. Course Title
Soft Computing Techniques
4. Course code
MAC 926
5. Course Hands out (in reference to framed & approved syllabus)
Contents
Machine Learning AI - Introduction, hierarchical perspective and foundations. Rote Learning,
Learning by advice, Learning in problem solving inductive learning, explanation based
learning,
learning
from
observation
and
discovery,
artificial
neurons and neural networks, Early adaptive nets Hopfield nets, back error propagation.
Hours
8hrs
Neural nets as massively parallel, connectionist architecture, Application in solving problems 7rs
from various are as e.g., AI, Stability - Plasticity and noise saturation dilemma, ART nets, cognition
and recognition.
Basics of Fuzzy Sets: Fuzzy Relations - Fuzzy logic and approximate reasoning - Design 7hrs
Methodology of Fuzzy Control Systems - Basic structure and operation of fuzzy logic control
systems.
Concepts of Artificial Neural Networks: Basic Models and Learning rules of ANN’s. Single layer 8hrs
perception networks - Feedback networks - Supervised and unsupervised learning
approaches - Neural Networks in Control Systems. Basics of Genetic Algorithms: Evolution
of Genetic Algorithm Applications.
Learning by analogy, introduction to formal learning theory. Biological neurons and brain, models of
biological neurons, Computer Hardware, networks, pattern recognition sensing and
control etc. competitive learning lateral inhibition and feature maps.
Total Class:
38hrs
6. Books/Literature to be followed:
(a) Books (Min. 2 texts + 3 references)
(i)
8hrs
Title
Author
Publisher
Edition
Neural Networks, fuzzy logic, genetic algorithms
S. Rajsekaran, G.A.Vijayalakshmi Pai
PHI
3rd Edition
NATIONAL INSTITUTE OF TECHNOLOGY, ARUNACHAL PRADESH, YUPIA, Pin-791112
(Established by MHRD, Govt. of India)
Website : www.nitap.in, Fax No: (0360) 2284972
E-Mail: nitarunachal@gmail.com / admin@nitap.in
(ii)
Title
Author
Publisher
Edition
Introduction to Artificial Intelligence
E Charniak, W. Midermott
Pearson
Second Edition
(iii)
Title
Author
Publisher
Edition
Artificial Neural Network
Shivanandan
TMH
2nd Edition
(iv)
Title
Author
Publisher
Edition
Computational Intelligence: A logical Approach
Davin Poole, Alan Mackworth, Randy Goebel,.
Oxford University Press
3rd Edition
(v)
Title
Author
Publisher
Edition
Artificial Intelligence
Elaine Rich,Kevin Knight
McGraw Hill
3rd Edition
(b) Magazines/Journals:
i) IEEE Intelligent Systems Magazine, Computer Society, United State
ii) AI Magazine - Association for the Advancement of Artificial Intelligence, AAAI Press,
iii)
iv)
v)
USA
Artificial Intelligent by Elsevier, Netherland
Journal of Artificial Intelligent Research(JAIR) , AAAI Press, USA
Applied Soft Computing - Journal - Elsevier, Netherland
7. Mode of Teaching:
J.C. Bose
8. If the course is of practices, list the experiments to be offered.
i)
ii)
iii)
iv)
v)
vi)
vii)
Simulate BFS and DFS
Simulate 8-puzzle problem
WAP to implement and function using ADALINE with BIPOLAR inputs and outputs
WAP to implement and function using MADALINE with BIPOLAR inputs and outputs
Write a program to implement fuzzy set operation and properties
Write a program to implement composition of fuzzy and crisp relations.
WAP to perform MAX-MIN composition of two matrices obtained from Cartesian
product
NATIONAL INSTITUTE OF TECHNOLOGY, ARUNACHAL PRADESH, YUPIA, Pin-791112
(Established by MHRD, Govt. of India)
Website : www.nitap.in, Fax No: (0360) 2284972
E-Mail: nitarunachal@gmail.com / admin@nitap.in
Are the manuals ready for the experiments to be conducted?
Remarks/ Endorsement by the HoD
With his /her signature with date
Yes
Name of the Teacher: Moumita Das
Designation: Guest Lecturer
Signature with Date:
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