B.TechSemester 52022-23Neural Networks Fuzzy SystemKEE056
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Neural Networks Fuzzy System (KEE056) - AKTU Question Paper 2022-23

B.Tech · Semester 5 · Free PDF Download

This is the official AKTU Neural Networks Fuzzy System Previous Year Question Paper for B.Tech Semester 5, 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 5
Session:2022-23
University:AKTU / UPTU

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Questions Asked in 2022-23

Neural Networks Fuzzy System (KEE056) — complete question paper

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    Write the applications of artificial neural network
  • b
    Draw 2-4-2 feed forward neural network
  • c
    List various tuning parameters in back propagation
  • d
    If the net input to an output neuron is 0.54, compute its outpu t when the activation function is binary sigmoidal
  • e
    Describe the difference between fuzzy and crisp set
  • f
    Explain linguistic variables in brief
  • g
    Define universal set in fuzzy set theory with example
  • h
    Describe fuzzy inference system. (i) Describe strong α-cut fuzzy set. (j) Define the L-R type Fuzzy numbers
Section BAttempt any three of the following: 10 x 3 = 30
  • a
    Compare and contrast Biological Neuron and Artificial Neuron with suitable diagram
  • b
    Explain the importance of sigmoidal function in Backpropagation algorithm. Drive the equation for output layer weight adjustment for Back-Propagation Neural Network: ΔW
  • c
    What are the components of fuzzy logic control and explain them in detail with block diagram?
  • d
    Suppose an engineer is addressing a problem in the power contro l of a mobile cellular telephone transmitting to its base station. Let MP be the mediu m-power fuzzy set and HP be the high-power set. Let the universe of discourse be comp osed of discrete units of 𝑑𝐵 ൈ 𝑚, that is, 𝑋ൌ ሼ0, 1, 2, … … .10ሽ. The membership functions for these two fuzzy sets are shown in figure. For these two fuzzy sets demons trate union, intersection, complement and the difference
  • e
    Explainthe structure of a neural expert system in details
Section CAttempt any one part of the following: 10 x 1 = 10
  • a
    Analyze the necessity of Activation function in ANN. Charac terize different types of activation functions used in ANN
  • b
    Train a hetero-associative memory network using Hebb rule t o store input row vector s = (s1, s2, s3, s4) to the output row vector t = (t 1, t2). The vector pairs are given in table below: Input Targets s1 s2 s3 s4 t1 t2
  • a
    Explain step by step procedure of back propagation learning algorithm in detail
  • b
    The input to a single input neuro n is 2, weight is 2.3 and its bias is -3. Examine the neuron output for different transfer functions: (i) Unit step with threshold value = 1 (ii) Linear with slope m = 2 (iii) Bipolar Sigmoidal with λ = 0.5
  • a
    Explain the meaning of defuzzification in fuzzy logic controller. Describe different methods of defuzzification process
  • b
    A Rocket was launched carrying a satellite which will be reachi ng a distance of 22,300 miles at a speed of 4.9 m/s from Earth. During its path, the average speed (A) for every 20-minute intervals and fuel consumed (B) for every 2 000 miles traveled is monitored. Given the fuzzy sets that follow. Determine a relation 𝑅෨ that relates the average speed and fuel consumed
  • a
    For an air conditioner, what will be the input and output in a Fuzzy controller? Explain in details of Fuzzy Logic Controller for Classroom Air Conditioner
  • b
    Explain with example, the importance of fuzzy logic system in your own healthcare
  • a
    Explain synergy between neural-fuzzy system. Summarize differen t characteristics of
  • b
    Analyze the different steps of the Fuzzy-backpropagation training

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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