Biju Patnaik University of Technology 2008-7th Sem B.Tech Soft Computing - Question Paper
Seventh Semester Examination - 2008 SOFT COMPUTING Full Marks-70
Time-3 Hours
Answer Question No. 1 which is compulsory and any five from the rest.
The figures in the right-hand margin indicate marks.
1, Answer the following questions : 2x10
(j) How does soft computing differ from hard computing ?
(Ii) If M1 young(0 , , >c i determine the
1 + ( /so)
membership function for the set 'young but not so youncf.
(iii)*.List the various activation functions used in ANN.
(iv) Enumerate the demerits of backpropa-gatton algorithm,
(v) Name the different crossover operators used in GA.
(vi) Distinguish between sequential and batchmode of backpropagation learning.
(vii) Enumerate different defuzzification techniques.
(viii) What do you understand by *Annealing Schedule' in simulated annealing ? I
(ix) State the drawbacks of single layer perceptron. Name a problem which cannot be solved by the above neural model.
(x) List different selection mechanisms in GA
2. (a) A neuron j receives inputs from other
neurons whose activity levels are 10f=20,
4 and -2, The respective synaptic weights of the neurons are 0.8, 0.2, -1.0 and
- 0.9. Calculate the output of neuron f for the following situations, 6
(i) The neuron is linear,
(ii) The neuron is represented by Me Cu'Lloch-Pitts model, defined as follows:
where V, is Ihe
induced local field.
|
(b) Consider the pseudo - linear function 0 as shown in Figure. Formulate 0 (v) as a function of v. 4 |
 |
3. The figure given below shows (he signal flow graph of a 2-2-2-1 feedforward network. The
function 0 (} denotes a logistic function. Write the input-output mapping defined by this network, 10
4, (a) Let the universe, x = {1,2(3h4,5} and small integers' be defined as A = { (1,1}, (2,0.5), (3t0.4}, (4,0,2), Let the fuzzy relation R : 'almost equal* be defined as follows :
|
1 |
2 |
3 |
4 | |
|
1 |
1 |
0.8 |
0 |
0 |
|
2 |
0.8 |
1 |
0,8 |
0 |
|
3 |
0 |
0.8 |
0,8 | |
|
4 |
0 |
0 |
0.8 |
1 |
What is the membership function of the fuzzy set B = rather small integers', if it is interpreted as the composition A0 R ?
7
(b) Explain the term Generalised Modus Portens1 with the hefp of suitable example.
3
5, (a) Compare and contrast between MLP and
IWL
RBFN. Stale 'Covers Theorem on Separability of Patterns'. 5
(b) Enumerate the steps followed in Genetic Algorithm, 5
6, (a) What do you understand by 'Tournament
Selection1 with reference to GA ? How does it overcome the demerit of Roulette Wheel selection* ? 5
PECS 3401 5 P10,
PECS 3401 6 Contd. PECS 3401
-c
|
Attachment: |
| Earning: Approval pending. |
