STUPIDSID
Please log in to continue.
Solve any one question from Q.1(a,b,c)& Q2.(a,b,c)
1(a)
Using Mc-Culloch Pitts neuron, implement a bipolar AND function. Assume initial weights to be[1 1].
8 M
1(b)
Explain unsupervised learning mechanism in contrast with a supervised learning mechanism.
6 M
1(c)
State the algorithm and essential processes in a Self Organized Feature Map network.
6 M
2(a)
State the perceptron learning rule. Also explain its limitation and solution for the same.
8 M
2(b)
State and explain the popular topologies of neural networks.
6 M
2(c)
Explain the RBF network and state its learning mechanism.
6 M
Solve any one question from Q.3(a,b)& Q.4(a,b)
3(a)
Explain any one fuzzy membership function with its transfer characteristics. Describe the possible use of the same with a suitable example.
8 M
3(b)
Using max-min composition find relation between R and S.
!mage
!mage
8 M
4(a)
State the Charactertistics of Neuro-fuzzy and soft computing.
8 M
4(b)
Consider two fuzzy sets A and B, calculate A∩ˉBandB∩ˉA. A={0.12,0.63,0.44,0.35,0.86}B={0.52,0.83,0.44,0.65,0.46}/
8 M
Solve any one question from Q.5(a,b)& Q.6(a,b)
5(a)
Explain the procedure for designing a simple fuzzy control system.
8 M
5(b)
Draw and explain the architecture of a typical FLC.
8 M
6(a)
State the fuzzy compositional rules used for fuzzy relationship computation.
8 M
6(b)
Give a rule: IF x is A, THEN y is B, where A={0.21,0.52,0.72}andB={0.65,0.87,0.49}/ inter B' for another rule: IF x is A' THEN y is B', where A={0.51,0.92,0.33}/ using Zadeh implication rule. Implication rule.
8 M
Solve any one question from Q.7(a,b)& Q.8(a,b)
7(a)
Draw and explain the architecture of a typical FLC.
10 M
7(b)
State the Archiecture of ANFIS.
8 M
8(a)
State the various application of FLC.
10 M
8(b)
Write a short note on "Hybrid Learning Algorithm employed in ANFIS"
8 M
More question papers from Soft Computing Techniques