11-06-2013, 12:55 PM
SEMESTER EXAMINATIONS FOR FUZZY LOGIC AND NEURAL NETWORKS
FUZZY LOGIC.pdf (Size: 20.67 KB / Downloads: 18)
Answer any five questions
All questions carry equal marks
1.a) Classify and briefly explain the Fuzzy Systems.
b) State the objectives of fuzzy set theory in decision-making application.
2. Explain different types of Defuzzification methods.
3. List and explain in detail about fuzzy logic control system models.
4.a) What is a perceptron? Explain the perceptron training algorithm.
b) What is Supervised Learning and how is it different from Unsupervised Learning?
5. Derive the equation for weight change in the output and hidden layer of Back propagation Network.
6.a) With neat block diagram explain in detail the ART1 Architecture.
b) Enumerate the applications of Adaptive Resonance Theory (ART).