B.TechSemester 32022-23Introduction To Soft ComputingKOE-036

Introduction To Soft Computing (KOE-036) - AKTU Question Paper 2022-23

B.Tech · Semester 3 · Free PDF Download

This is the official AKTU Introduction To Soft Computing Previous Year Question Paper for B.Tech Semester 3, 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 3

Session:2022-23

University:AKTU / UPTU

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Questions Asked in 2022-23

Introduction To Soft Computing (KOE-036) — complete question paper

Section AAttempt all questions in brief. 2 x 10 = 20

a
What is Learning Rate?
b
What is Soft Computing?
c
Define Cell and Chromosomes
d
Explain the Difference between Fuzzy logic and Crisp Logic
e
What is Fuzzy Cartesian Product?
f
Fuzzy Set A={(x1,0.2),(x2,0.9),(x3,0.4)} and Fuzzy Set B={(x1,0.4),(x2,0.5),(x3,0.2) find Disjunctive sum of Fuzzy Set A a n d
g
Why do we use bias function in Neural Network?
h
Discuss Complexity. (i) Discuss Activation function. Define the Hard Limit with its in put and output relationship. (j) What do you mean by Membership Function? Make diagram for Triangular membership function

Section BAttempt any three of the following: 10 x 3 = 30

a
Discuss on realization of the A ND function by using the Single L a y e r Perceptron
b
Explain important characteristic s and applications of artifici al neural network
c
What is Multi-Layer Perceptron? Also Explain the Applications of Soft Computing
d
What do you mean by Neuro Fuzzy? Explain in Brief
e
Define fuzzy Automata in brief

Section CAttempt any one part of the following: 10 x 1 = 10

a
Construct KSOM to cluster 3 given vectors [1,0,1],[1,1,1],[1,0, 1] and number of clusters to be formed is 2.Assume an initial learning Rate of
b
Solve A Back propagation Neural Network with two given inputs X 1, X2= [0.09,0.10] and Weights whic h are connected to Hidden Layer H1 are[0.17,0.22] and Weights which are connected to Hidden Layer H2 are [0.27,0.32] with Bias b1=0.38. Weights which are connected to o utput Layer O1 are [0.42,0.47] and Wei ghts which are connected to Out put Layer O2 are [0.52,0.57] with Bias b2=0.64 and Desired outputs are O1, O2= [0.01,0.97]. Solve it with A t least 1 Iteration, Assume the Learning rate is 1
a
Write a short note on the following (i) Rank space method (ii) Genetic algorithm based Internet search techniques
b
Explain the terms Fuzzy Control, Neuro Fuzzy Control and Hybri d Fuzzy Control
a
What do you mean by Genetic Algorithm? Explain it with all pha ses and also draw flow chart
b
What is MATLAB? Also Explai n modules of MATLAB System
a
Explain the term Rule base Struc ture Identification and Simula ted Annealing
b
Explain Adaptive Network based Fuzzy Interface System with Mamdani Model
a
Explain in brief Fuzzifica tion and Defuzzification
b
What is supervised learning and Unsupervised Learning? Explain both with Diagrams and Examples

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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