Soft Computing Question Paper BPUT

I am pursuing B.Tech from Biju Patnaik University of Technology (BPUT), Rourkela and looking for Model Question Papers & Previous Years Question Papers of B Tech 7th Semester Soft Computing Subject so please provide me the same for preparation of exam?

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The Biju Patnaik University of Technology is admitted candidates for B.Tech. For 7th sem the Biju Patnaik University of Technology is provides Soft Computing question papers.

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Biju Patnaik University of Technology B.Tech Soft Computing question papers






Biju Patnaik University of Technology B.Tech Soft Computing question papers:

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:\ n > o] where V, is Ihe ,1. IfK < 0 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 :
What is the membership function of the fuzzy set B = rather small integers', if it is interpreted as the composition A0 R ?

(b) Explain the term Generalised Modus Portens1 with the hefp of suitable example.