B.TechSemester 52024-25Application Of Soft ComputingBCS056

Application Of Soft Computing (BCS056) - AKTU Question Paper 2024-25

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 2024-25. 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:2024-25
University:AKTU / UPTU

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Questions Asked in 2024-25

Application Of Soft Computing (BCS056) — complete question paper · 70 marks · 3 Hours

Section AAttempt all questions in brief. 2 x 07 = 14
  • a
    Define single-layer and multilayer feed-forward networks
  • b
    What is recurrent neural network architecture?
  • c
    State two factors that affect backpropagation training
  • d
    Mention one application of backpropagation networks
  • e
    Write two examples of fuzzy to crisp conversion
  • f
    Explain the concept of fuzzy implications
  • g
    List the steps involved in the g enerational cycle of GA
Section BAttempt any three of the following: 07 x 3 = 07
  • a
    Explain the concept of convergence in the context of the per ceptron learning rule
  • b
    Describe the effect of the learning rule coefficient on the training process in backpropagation networks
  • c
    Describe the basic concepts o f fuzzy logic with an example
  • d
    Discuss the process of fuzzifi cation and defuzzification with examples
  • e
    Describe the role of genetic operators in the GA process
Section CAttempt any one part of the following: 07 x 1 = 07
  • a
    Describe in detail the various learning techniques used in n eural networks
  • b
    Explain auto-associative and hetero-associative memory with examples
  • a
    Compare and contrast single- layer and multilayer perceptron models
  • b
    Explain how backpropagation me thods solve the limitations of t h e perceptron model
  • a
    Explain the role of fuzzy rel ations in decision-making with examples
  • b
    Provide a detailed analysis of fuzzy logic’s importance in a rtificial intelligence
  • a
    Describe in detail the algor ithms involved in fuzzification and defuzzification
  • b
    Analyze the role of fuzzy controllers in industrial automati on with suitable examples
  • a
    Provide a detailed explanati on of the industrial application s of genetic algorithms
  • b
    Compare genetic algorithms wi th traditional optimization techniques

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.

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