FirstRanker's choice
Roll No.
--- Content provided by FirstRanker.com ---
Total No. of Pages : 01
Total No. of Questions : 08
M.Tech. ECE (Wireless Communication) (2018 Batch) (Sem.-2)
SOFT COMPUTING TECHNIQUES
Subject Code : MTWC-104-18
--- Content provided by FirstRanker.com ---
M.Code: 76068
Time: 3 Hrs.
Max. Marks : 60
INSTRUCTIONS TO CANDIDATES :
- Attempt any FIVE questions out of EIGHT questions.
- Each question carries TWELVE marks.
--- Content provided by FirstRanker.com ---
Q.1
(a) Define soft computing and explain the importance of soft computing in the field of machine learning. [6]
(b) List various learning schemes and explain any one of them with example. [6]
Q.2
--- Content provided by FirstRanker.com ---
(a) What is pattern classification? Explain one of the algorithms for pattern classification in detail. [6]
(b) Draw and explain McCulloch-Pitts model of neural network with its limitations. [6]
Q.3
(a) Differentiate perceptron and Hebbian learning algorithms with an appropriate example. [6]
(b) Draw and explain ADALINE network and its application? [6]
--- Content provided by FirstRanker.com ---
Q.4
What is travelling sales man problem? List the possible solutions for this task and explain one of the best algorithms with suitable example in detail. [12]
Q.5
(a) Draw and explain recurrent neural network with its real life application. [6]
(b) What is the significance of adaptive resonance theory neural network? Draw and explain ART1 neural network with suitable example. [6]
--- Content provided by FirstRanker.com ---
Q.6
(a) What are the differences between derivative free and derivative based optimization algorithms? [6]
(b) What is fuzzification processes? Explain one of the popular fuzzification processes in detail with suitable example. [6]
Q.7
(a) Discuss the importance of hybrid soft computing techniques in machine learning. [6]
--- Content provided by FirstRanker.com ---
(b) Explain GA based BPNN hybrid Softcomputing scheme with an example. [6]
Q.8
(a) Differentiate between classical and Fuzzy sets. Explain two important operations on classical and fuzzy sets with example. [6]
(b) Explain multiobjective optimization using genetic algorithm with an example. [6]
NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.
--- Content provided by FirstRanker.com ---
This download link is referred from the post: PTU M.Tech 2nd Semester Last 10 Years 2010-2020 Previous Question Papers|| Punjab Technical University
--- Content provided by FirstRanker.com ---