Application Of Soft Computing (BCS056) - AKTU Question Paper 2025-26
B.Tech · Semester 5 · Free PDF Download
This is the official AKTU Application Of Soft Computing Previous Year Question Paper for B.Tech Semester 5, academic session 2025-26. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.
Course:B.Tech
Semester:Semester 5
Session:2025-26
University:AKTU / UPTU
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Questions Asked in 2025-26
Application Of Soft Computing (BCS056) — extracted question text · 70 marks · 3 Hours
Section AAttempt all questions in brief. 02 x 7 = 14
- aWhy a single -layer perceptron fails to solve linearly non-separable problems?
- bHow does bias improve the learning capability of an artificial neuron?
- cState one reason for slow convergence in backpropagation networks
- dHow does a fuzzy set differ from a crisp set in terms of membership function?
- eDifferentiate between fuzzification and defuzzification in one or two points
- fDefine the term "fitness function" in Genetic Algorithm and its purpose
- gState any two genetic operators used in Genetic Algorithm
Section BAttempt any three of the following: 07 x 3 = 21
- aCritically analyze different activation functions and justify why sigmoid or ReLU is preferred in deep neural networks
- bCompare backpropagation learning with perceptron learning in terms of error handling, learning capability, and convergence
- cDiscuss the properties of fuzzy sets and analyze their role in ensuring consistency of fuzzy inference systems
- dApply fuzzy IF–THEN rules to model a temperature control problem and explain the reasoning mechanism
- eExplain the working principle of Genetic Algorithm with a neat flow chart
Section CAttempt any one part of the following: 07 x 1 = 07
- aAnalyze the biological neuron and artificial neuron in terms of signal processing capability. Discuss the limitations of artificial neuron models
- bExplain various learning techniques in neural networks and analyze their suitability for supervised and unsupervised problems
- aEvaluate the suitability of backpropagation neural networks for pattern recognition applications
- bDiscuss the effect of learning rate and momentum coefficient on stability and convergence of backpropagation training
- aEvaluate the importance of properties of fuzzy sets (normality, convexity, support) in practical fuzzy systems
- bExplain the trade-off between rule interpretability and system accuracy in
- afuzzy logic system with the help of a suitable example
- aApply fuzzy algorithms to handle uncertainty in industrial decision - making systems
- bAnalyze the sensitivity of fuzzy controllers to changes in membership function parameters
- aDescribe the role of fitness function in guiding the search process of Genetic Algorithm
- bExplain crossover and mutation operators and their role in GA
Question text is extracted from the official AKTU question paper PDF above. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.
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