DOC/LP/01/28.02.2002
LESSON PLAN
Subject Code & Name: MR7004 & FUZZY LOGIC AND
NEURAL NETWORKS
Unit : I
Branch : ME Mechatronics
Semester :II
UNIT I
LP – MR7004
LP Rev. No: 0
Date: 21/01/2014
Page 01 of 06
INTRODUCTION TO FUZZY LOGIC
9
Syllabus:
Basic concepts in Fuzzy Set theory – Operations of Fuzzy sets – Fuzzy relational
equations – Propositional, Predicate Logic – Inference – Fuzzy Logic Principles – Fuzzy
inference – Fuzzy Rule based systems – Fuzzification and defuzzification – Types.
Objective:
To understand the basic concepts, Operations and Principles of Fuzzy Logic, applications of
various Fuzzy Logic systems, architecture and Taxonomy of Neural Networks.
Session
Topics to be covered
No.
Basic concepts in Fuzzy Set theory
1
Time
Ref
50m
1,3
Teaching
Method
BB
2
Operations of Fuzzy sets
50m
1,3
PPT
3
Fuzzy relational equations
50m
1,3
PPT
4
Propositional, Predicate Logic, Inference
50m
1,3
PPT
5
Fuzzy Logic Principles
50m
1,3
PPT
6
Fuzzy inference
50m
1,3
PPT
7
Fuzzy Rule based systems
50m
1,3
PPT
8
Fuzzification and defuzzification
50m
1,3
PPT
50m
1,3
9
Types.
PPT
DOC/LP/01/28.02.2002
LESSON PLAN
Subject Code & Name: MR7004 & FUZZY LOGIC AND
NEURAL NETWORKS
Unit : II
Branch : ME Mechatronics
Semester :II
UNIT II
LP – MR7004
LP Rev. No: 0
Date: 21/01/2014
Page 02 of 06
FUZZY LOGIC APPLICATIONS
9
Syllabus:
Fuzzy logic controllers – Principles – Various industrial Applications of Fuzzy logic control–
Adaptive Fuzzy systems – Fuzzy Decision making – Fuzzy classification – Fuzzy pattern
Recognition – Image Processing applications – Fuzzy optimization.
Objective:
To understand the Operations and Principles of Fuzzy Logic, applications of various
Fuzzy Logic systems
Session
Topics to be covered
No.
Fuzzy logic controllers
10.
Time
Ref
50m
1,2
Teaching
Method
BB,PPT
1,2
BB,PPT
11.
Fuzzy logic controllers- Principles
50m
12.
50m
13.
Various industrial Applications of Fuzzy logic
control
Adaptive Fuzzy systems
50m
1,2
BB
14.
Fuzzy Decision making
50m
1,2
BB,PPT
15.
Fuzzy classification
50m
1,2
BB
16.
Fuzzy pattern Recognition
50m
1,2
BB
17.
Image Processing applications
50m
1,2
BB
18.
Fuzzy optimization
50m
1,2
BB,PPT
1,2
BB
DOC/LP/01/28.02.2002
LESSON PLAN
Subject Code & Name: MR7004 & FUZZY LOGIC AND
NEURAL NETWORKS
Unit : III
Branch : ME Mechatronics
Semester :II
UNIT III
LP – MR7004
LP Rev. No: 0
Date: 21/01/2014
Page 03 of 06
INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS
9
Syllabus:
Fundamentals of Neural networks – Neural network architectures – Learning
methods – Taxonomy of Neural Network Architectures – Standard back propagation
Algorithms – Selection of various parameters – Variations.
Objective:
To understand the basic concepts of Artificial Neural Networks relevant to human
neural system.
Session
Topics to be covered
No.
19. Fundamentals of Neural networks
Time
Ref
50m
1,2
Teaching
Method
BB
20.
Neural network architectures
50m
1,2
BB
21.
Neural network architectures
50m
1,2
BB
22.
Learning methods
50m
1,2
BB,PPT
23.
Learning methods
50m
1,2
BB,PPT
24.
Taxonomy of Neural Network Architectures
50m
1,2
BB
25.
Standard back propagation Algorithms
50m
1,2
BB
26.
Selection of various parameters
50m
1,2
BB,PPT
27.
Variations
50m
1,2
BB
DOC/LP/01/28.02.2002
LESSON PLAN
Subject Code & Name: MR7004 & FUZZY LOGIC AND
NEURAL NETWORKS
Unit : IV
Branch : ME Mechatronics
Semester :II
UNIT IV
LP – MR7004
LP Rev. No: 0
Date: 21/01/2014
Page 04 of 06
9
OTHER ANN ARCHITECTURES
Syllabus:
Associative memory – Exponential Bidirectional Associative Memory – Adaptive Resonance
Theory – Introduction – Adaptive Resonance Theory 1 – Adaptive Resonance Theory 2 –
Applications – Kohen Self organizing maps – counter propagation networks – Industrial
Applications.
Objective:
To understand the basic concepts of Artificial Neural Networks relevant to human neural
system
Session
No.
28.
Time
Ref
Associative memory
50m
1,2
Teaching
Method
BB,PPT
Exponential Bidirectional Associative
Memory
Adaptive Resonance Theory
50m
1,2
BB,PPT
1,2
BB,PPT
50m
1,2
BB,PPT
32.
Introduction – Adaptive Resonance
Theory 1
Adaptive Resonance Theory 2
50m
1,2
BB,PPT
33.
Applications
50m
1,2
BB,PPT
34.
Kohen Self organizing maps
50m
1,2
BB,PPT
35.
Counter propagation networks
50m
1,2
BB,PPT
36.
Industrial Applications.
50m
1,2
BB,PPT
29.
30.
31.
Topics to be covered
50m
DOC/LP/01/28.02.2002
LESSON PLAN
Subject Code & Name: MR7004 & FUZZY LOGIC AND
NEURAL NETWORKS
Unit : V
Branch : ME Mechatronics
Semester :II
UNIT V
LP – MR7004
LP Rev. No: 0
Date: 21/01/2014
Page 05 of 06
9
MACHINE VISION APPLICATIONS
Syllabus:
Fundamentals of Genetic Algorithms – Hybrid systems – Meta heuristic techniques like
simulated Annealing, Tabu Search, Ant colony optimization, Perpetual self organizing,
Artificial immune systems – Applications in Design and Manufacturing.
Objective:
To understand the various types and applications of Fuzzy Logics and Artificial
Neural Networks
Session
Topics to be covered
No.
37. Fundamentals of Genetic Algorithms
Time
Ref
50m
1,2
Teaching
Method
BB,PPT
38.
Hybrid systems
50m
1,2
BB,PPT
39.
Meta heuristic techniques
50m
1,2
BB,PPT
40.
Simulated Annealing
50m
1,2
BB,PPT
41.
Tabu Search
50m
1,2
BB,PPT
42.
Ant colony optimization
50m
1,2
BB,PPT
43.
Perpetual self organizing
50m
1,2
BB,PPT
44.
Artificial immune systems
50m
1,2
BB,PPT
45.
Applications in Design and Manufacturing.
50m
1,2
BB,PPT
DOC/LP/01/28.02.2002
LESSON PLAN
Subject Code & Name: MR7004 & FUZZY LOGIC AND
NEURAL NETWORKS
Branch : ME Mechatronics
Semester :II
LP – MR7004
LP Rev. No: 0
Date: 21/01/2014
Page 06 of 06
Course Delivery Plan:
Week
Units
1
2
3
3
4
5
6
7
8
8
9
10
11
12
13
I
II
I
II
I
II
I
II
I
II
I
II
I
II
I
II
I
II
I
II
I
II
I
II
I
1
1
1
2
2
2
3
3
3
4
4
4
5
5
5
REFERENCES:
1. S. Rajasekaran, GA Vijayalakshmi Pai, ‘Neural Networks, Fuzzy Logic and Genetic
Algorithms’, Prentice Hall of India Private Limited, 2003.
2. Klir, G.J. Yuan Bo, ‘Fuzzy sets and Fuzzy Logic: Theory and Applications’, Prentice Hall
of India Pvt. Ltd., 2005.
3. Simon Haykin, ‘Neural Networks – A comprehensive foundation’, Prentice Hall, 3rd
Edition, 2004.
4. Laurene Fausett, ‘Fundamentals of Neural Networks, Architectures, Algorithms and
Applications, Prentice Hall, Englewood cliffs, 2000.
MR7004
Prepared by
Approved by
Name
A.KUMARASWAMY
Dr. PITCHANDI. K
Designation
Assitant Professor - ME
Professor & Head
Department of Mechanical Engg
Date
21/01/2014
21/01/2014
Signature