B.TechSemester 42022-23Introduction To Soft ComputingKOE-046
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Introduction To Soft Computing (KOE-046) - AKTU Question Paper 2022-23

B.Tech · Semester 4 · Free PDF Download

This is the official AKTU Introduction To Soft Computing Previous Year Question Paper for B.Tech Semester 4, academic session 2022-23. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 4
Session:2022-23
University:AKTU / UPTU

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Questions Asked in 2022-23

Introduction To Soft Computing (KOE-046) — complete question paper

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    How does a multilayer perceptron differ from a single-layer perceptron?
  • b
    Discuss the purpose of a Hopfield network
  • c
    Explain the concept of membership function in fuzzy sets
  • d
    How are fuzzy relations different from crisp relations?
  • e
    Discuss data clustering algorithms
  • f
    Discuss neuro-fuzzy controls
  • g
    Elaborate the significance of survival of the fittest in the evolutionary process
  • h
    How does mutation introduce random changes in individuals' genetic material? (i) Discuss a hybrid fuzzy controller. (j) Discuss the Traveling Salesman Problem (TSP)
Section BAttempt any three of the following: 10x3=30
  • a
    Discuss the role of back propagation in training a neural network?
  • b
    Describe how fuzzy logic help in decision making under uncertainty?
  • c
    How do evolutionary algorithms simulate natural evolution for problem-solving?
  • d
    Discuss the rank method to assign a fitness value t o individuals based on their rank in the population?
  • e
    Discuss soft computing techniques implemented in MATLAB?
Section CAttempt any one part of the following: 10x1=10
  • a
    Explain the process of learning in Kohnen’s self or ganizing network with suitable example
  • b
    Discuss Hopfield network store and retrieve information with suitable example
  • b
    Discuss the handling of uncertainty in inputs and o utputs using fuzzy functions
  • a
    Discuss the method of grouping similar data points together using clustering algorithms
  • b
    How does simulated annealing work as an optimization technique?
  • a
    What role does fitness computation play in the evolutionary process?
  • b
    How does the rank space method utilize the concept of rank to guide the search process?
  • a
    How does a genetic algorithm solve the TSP?
  • b
    How does the genetic algorithm approach is differen t from the traditional search 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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