IC1403 NEURAL NETWORK AND FUZZY LOGIC CONTROL question papers Anna university APRIL/MAY 2008 question papers Download

B.E/B.Tech DEGREE EXAMINATION APRIL/MAY 2008
Eight Semester
(Regulation 2004)
Electrical and Electronice Engineering
IC 1403 --NEURAL NETWORK AND FUZZY LOGIC CONTROL
(Regulation 2004)
Time: 3 hours                                                    Maximum marks: 100
Answer ALL questions
PART A (10 x 2 =20 marks)

1. What is the fundamental building block of the biological neural network?Discuss.

2. Distinguish between supervised and un-supervised learning?

3. State how a feedback network can be obtained from a feed forward network.

4.What is a continuous time network?

5. List the four different operations on classical sets

6.Do fuzzy sets follow the same properties as crisp sets?

7. State how elements of a fuzzy set are mapped to a universe of membership values.

8. List the three basic operators all genetic algorithms contain..

9. List the two different forms most fuzzy logic control system models can be expressed?

10.List the two kinds of disturbances in the control loop for the control of depth of aneshesia..

PART B (5 x 16 = 80)

11 (a)  (i) With a schematic diagram discuss the structure of a biological neuron.(8)
(ii)Diagrammatically illustrate and discuss McCulloch-Pitts Neuron model.(8)
(or)
(b) (i)Compare single layer perception classifier and multi-layer perception classifier?(8)

(ii) Discuss the back propagation training algorithm with a relevant diagram(8).
12.  (a) Diagrammatically illustrate and discuss discrete time hop-field network (16)
(or)
(b)State the inverted pendulum problem.Discuss the design of a neuro-controller for the same.(16)

13 (a) (i)Define the term fuzzy relation.What is the cardinality of a fuzzy relation?Discuss(4)

(ii) List and discuss the operations on fuzzy relations(6)
(iii)List and discuss the properties of fuzzy relations(6)
(or)
(b) (i) Tabulate and discuss the canoncial form for a fuzzy rule based system.(10)

(ii) List and discuss the two simple extreme cases that exist in determining an aggregation strategy of fuzzy rules(6)

14.  (a)  (i) Define the term membership function.Discussion how neural networks can be used in optimization of membership function (12)
(ii)What is knowledge base? what are its contents?Discuss(4)
(or)
(b) Write short notes on:

(i) Genetic algorithms (8)

(ii) Adaptive Fuzzy systems(8)

15.  (a) (i) Diagrammatically illustrate and discuss the major modules involved in fuzzy logic control system(12)
(ii) What is a neuro-fuzzy controller?Discuss.(4)
(or)
(b) Discuss the application of fuzzy logic control in image processing.Give relevant examples(16)

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