Exam Details
| Subject | fuzzy systems and control | |
| Paper | ||
| Exam / Course | m.tech.chemical engineering(process control) | |
| Department | ||
| Organization | Government Degree College, Kamalpur | |
| Position | ||
| Exam Date | May, 2018 | |
| City, State | tripura, dhalai |
Question Paper
Page 1 of 2
Name
Reg No
E
APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
07 THRISSUR CLUSTER
SECOND SEMESTER M.TECH. DEGREE EXAMINATION APRIL 2018
Chemical engineering
Process Control
07CH6110 FUZZY SYSTEMS AND CONTROL
Time 3 hours Max.Marks: 60
Answer all six questions. Part of each question is compulsory.
Answer either part or part of each question
Q.no. Module 1 Marks
1a What are activation functions and different types of activation functions 4
Answer b or c
b What are the appliances of artificial intelligence in process modelling and
simulation?
5
c What are the appliances of artificial intelligence in process engineering? 5
Q.no. Module 2 Marks
2a What are artificial neural networks and why are they used. 4
Answer b or c
b Write the input layer computation of multilayer neural networks. 5
c What are recurrent networks? 5
Q.no. Module 3 Marks
3a What are asymmetric networks? 4
Answer b or c
b How are Hopfield networks used as associative memory 5
c What are competitive networks and how does it differ from Kohonen maps. 5
Page 2 of 2
Q.no. Module 4 Marks
4a What is involution and transitivity in crisp set theory. 4
Answer b or c
b Explain the significance of fuzzy sets and how are they represented. 5
c Given A and B 0.8) be two fuzzy sets
defined on the universe of discourse x2} Then find AUB, ii) Ac iii)
A.B, IV) A∩B.
5
Q.no. Module 5 Marks
5a What is fuzzy number? Explain with an example. 5
Answer b or c
b Explain Cartesian product with an example. 7
c If A 0.8) and B 0.6) be two fuzzy
sets defined on universe of discourse and then
find the fuzzy relation R.
7
Q.no. Module 6 Marks
6a Explain the dynamic properties of fuzzy controller 5
Answer b or c
b How does inference mechanism work. 7
c Describe with a case study the functioning of fuzzy controller 7
Name
Reg No
E
APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
07 THRISSUR CLUSTER
SECOND SEMESTER M.TECH. DEGREE EXAMINATION APRIL 2018
Chemical engineering
Process Control
07CH6110 FUZZY SYSTEMS AND CONTROL
Time 3 hours Max.Marks: 60
Answer all six questions. Part of each question is compulsory.
Answer either part or part of each question
Q.no. Module 1 Marks
1a What are activation functions and different types of activation functions 4
Answer b or c
b What are the appliances of artificial intelligence in process modelling and
simulation?
5
c What are the appliances of artificial intelligence in process engineering? 5
Q.no. Module 2 Marks
2a What are artificial neural networks and why are they used. 4
Answer b or c
b Write the input layer computation of multilayer neural networks. 5
c What are recurrent networks? 5
Q.no. Module 3 Marks
3a What are asymmetric networks? 4
Answer b or c
b How are Hopfield networks used as associative memory 5
c What are competitive networks and how does it differ from Kohonen maps. 5
Page 2 of 2
Q.no. Module 4 Marks
4a What is involution and transitivity in crisp set theory. 4
Answer b or c
b Explain the significance of fuzzy sets and how are they represented. 5
c Given A and B 0.8) be two fuzzy sets
defined on the universe of discourse x2} Then find AUB, ii) Ac iii)
A.B, IV) A∩B.
5
Q.no. Module 5 Marks
5a What is fuzzy number? Explain with an example. 5
Answer b or c
b Explain Cartesian product with an example. 7
c If A 0.8) and B 0.6) be two fuzzy
sets defined on universe of discourse and then
find the fuzzy relation R.
7
Q.no. Module 6 Marks
6a Explain the dynamic properties of fuzzy controller 5
Answer b or c
b How does inference mechanism work. 7
c Describe with a case study the functioning of fuzzy controller 7
Other Question Papers
Subjects
- advanced chemical reaction engineering
- advanced heat and mass transfer
- energy engineering and management
- environmental engineering and management
- fluid and particle mechanics-i (ch)
- fuzzy systems and control
- industrial instrumentation
- mathematics
- modern control theory
- nanomaterial and nanotechnology
- process dynamics and control i
- process dynamics and control ii
- process modeling and simulation
- process safety engineering
- site surveying and analysis