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
Rate this paper
Questions Asked in 2025-26
Application Of Soft Computing (BCS056) — complete question paper · 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. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.
Application Of Soft Computing — Other Year Papers
AKTU Application Of Soft Computing PYQs from other sessions
More B.Tech Semester 5 (2025-26) Papers
Other subjects from same semester and session
Machine Design2025-26Essence Of Indian Traditional Knowledge2025-26Cloud Computing2025-26Design And Analysis Of Algorithm2025-26Constitution Of India2025-26Database Management System2025-26I C Engines Fuels Lubrication2025-26Artificial Intelligence2025-26
View all B.Tech Semester 5 2025-26 papers →Syllabus & More PYQs
Paper solve karne se pehle unit-wise syllabus dekh lo