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.

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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 \[A\cap \bar{B}\text{and}B\cap {\bar{A}}\]. \(\begin{align*} A=\left \{ \frac{0.1}{2} ,\frac{0.6}{3},\frac{0.4}{4},\frac{0.3}{5},\frac{0.8}{6}\right \}\\
B=\left \{ \frac{0.5}{2},\frac{0.8}{3},\frac{0.4}{4},\frac{0.6}{5},\frac{0.4}{6} \right \}\end{align*} \)/

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 \(A=\left \{ \frac{0.2}{1} ,\frac{0.5}{2},\frac{0.7}{2}\right \}\text{and}B=\left \{ \frac{0.6}{5},\frac{0.8}{7},\frac{0.4}{9} \right \} \)/ inter B' for another rule: IF x is A' THEN y is B', where \( A=\left \{ \frac{0.5}{1} ,\frac{0.9}{2},\frac{0.3}{3}\right \} \)/ 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

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