Download JNTU M.TECH 2-semester NEURAL AND FUZZY SYSTEMS August/September-2007 Exam Question Paper
Code No: 52214/MT
M.Tech. II-Semester Examinations, August/September-2007.
NEURAL AND FUZZY SYSTEMS
( Common to Power System Control & Automation, Electrical Power
Systems, Power Electronics and Electrical Power Engineering)
Time: 3 hours Max. Marks: 60
Answer any FIVE questions
All questions carry equal marks
- – -
1.a) Explain the structure and working of a neuron with the help of
neat diagram.
b) Discuss different models of Neuron.
2.a) Explain activation and synaptic dynamics of Neural Networks.
b) Discuss various Artificial Neural Network Architectures.
3.a) Derive perceptron learning algorithm.
b) What are the advantages and disadvantages of perceptron model?
4.a) Explain how Bi-directional memory can be used as hetero
associative memory.
b) Design the weights of BAM architecture to store the following three
sets of associations between four dimentional and two dimentional
patterns.
(+1, +1, -1, -1) → (+1, +1)
(+1, +1, +1,+1) → (+1, -1)
(-1, -1, +1, +1) → (-1, +1)
5. Discuss ‘Adaptive Resonance Theory’ algorithm. Comment on the
role of the Vigilance parameter in ART-1. Mention its applications.
6. Discuss the following:
(a) Fuzzy rule base
(b) Trapezoidal membership function
(c) Defuzzification
7.a) Compare and contrast fuzzy logic control and conventional control
system.
b) State the objectives of fuzzy set theory in decision-making
application.
8.a) Describe a typical case study in which fuzzy logic is used as a
model and a controller.
b) Explain fault diagnosis using ANN.
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