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 | April, 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 Develop the model of artificial neuron. 4
Answer b or c
b What are the appliances of artificial intelligence in process design? 5
c What are the appliances of artificial intelligence in process control? 5
Q.no. Module 2 Marks
2a What are the different learning rules used in training. 4
Answer b or c
b Write the middle layer computation of multilayer neural networks. 5
c What are adaptive neural networks? 5
Q.no. Module 3 Marks
3a What is basin of attraction 4
Answer b or c
b What are competitive networks? 5
c What are self organising networks? 5
Page 2 of 2
Q.no. Module 4 Marks
4a What is idempotence and identity in crisp set theory? 4
Answer b or c
b Verify Demorgans laws. 5
c Verify associativity and distributivity in fuzzy set theory. 5
Q.no. Module 5 Marks
5a What is membership function? Explain with an example. 5
Answer b or c
b Explain fuzzy Cartesian product with an example. 7
c Explain fuzzy relation with an example 7
Q.no. Module 6 Marks
6a Explain the static properties of fuzzy controller 5
Answer b or c
b What is rule base and how are rules made. 7
c What are the different methods used in defuzzification and why is it done. 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 Develop the model of artificial neuron. 4
Answer b or c
b What are the appliances of artificial intelligence in process design? 5
c What are the appliances of artificial intelligence in process control? 5
Q.no. Module 2 Marks
2a What are the different learning rules used in training. 4
Answer b or c
b Write the middle layer computation of multilayer neural networks. 5
c What are adaptive neural networks? 5
Q.no. Module 3 Marks
3a What is basin of attraction 4
Answer b or c
b What are competitive networks? 5
c What are self organising networks? 5
Page 2 of 2
Q.no. Module 4 Marks
4a What is idempotence and identity in crisp set theory? 4
Answer b or c
b Verify Demorgans laws. 5
c Verify associativity and distributivity in fuzzy set theory. 5
Q.no. Module 5 Marks
5a What is membership function? Explain with an example. 5
Answer b or c
b Explain fuzzy Cartesian product with an example. 7
c Explain fuzzy relation with an example 7
Q.no. Module 6 Marks
6a Explain the static properties of fuzzy controller 5
Answer b or c
b What is rule base and how are rules made. 7
c What are the different methods used in defuzzification and why is it done. 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