B.E. (Computer Science Engineering) Eighth Semester (C.B.S.)
Elective - III : Soft Computing Techniques TKN/KS/16/7696
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*0708* Time : Three Hours Max. Marks : 80 _____________________________________________________________________
Notes : 1. 2. 3. 4. 5. 6. 7. 8. 9.
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Explain Random search & downhill simplex search in detail. Give Mamdani fuzzy model in detail. OR Explain Tsukamoto fuzzy model & Genetic algorithm in detail.
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Explain Architecture of Adaptive Networks in detail. Explain Feed forward network in detail. OR Explain Back-Propagation multilayer perception. What is supervised learning neural network? Explain in detail.
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What is learning vector Quantization? Explain the process in detail. What are the principles of component network? Elaborate it. OR What is self organizing network? Explain kohonen self organizing network in detail. Explain Hebbian Learning process.
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What is K-means clustering? Explain. Explain Fuzzy C-means clustering in detail. OR Explain Architecture of ANFIS in detail. Explain ANFIS as universal approximation.
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Explain Hand-written Numeral Recognition. Write note on GA-base Fuzzy filter. OR Explain Rule base Organization & focus set base. Rule combination in detail. *********
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What is soft computing? Explain constituents and conventional of AI. Explain Fuzzy theoretic operations in detail. OR Explain Fuzzy If- then Rules & reasoning. Explain Fuzzy principles & relations in detail.
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All questions carry marks as indicated. Solve Question 1 OR Questions No. 2. Solve Question 3 OR Questions No. 4. Solve Question 5 OR Questions No. 6. Solve Question 7 OR Questions No. 8. Solve Question 9 OR Question No. 10. Solve Question 11 OR Question No. 12. Due credit will be given to neatness. Assume suitable data whenever necessary.
1. a) How does genetic algorithm works? Explain with ... Explain the Classical Newton's Method. 13. ... Displaying SOFT COMPUTING - 04 15.pdf. Page 1 of 2.
Write in detail about Problem Solving in Genetic Algorithm. 7. Explain in ... Explain in detail about the newton's method in derivative based. optimization. 11.
order approximate, dynamic models for analysis and control synthesis, particularly with respect to parameter variations and un-modelled, high-frequency ...
Information retrieval (IR) aims at defining systems able to provide a quick and efficient ... major reason for this difference is that IR generally deals with natural language text ..... Journal of Computer Science and Network Security, 7(1), pp.
expression existent in a database of glands and non-glands. .... System for Recognition of Biological Patterns in Toxins Using Computational Intelligence.
