B.TechSemester 52024-25Neural Networks Fuzzy SystemBEE056
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Neural Networks Fuzzy System (BEE056) - AKTU Question Paper 2024-25

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 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

Neural Networks Fuzzy System (BEE056) — complete question paper · 70 marks · 3 Hours

Section AAttempt any three of the following: 5 07 x 3 = 07
  • a
    Explain percept ron rule
  • b
    Describe unsupervised learning
  • c
    Write short note on Madaline networks
  • d
    Write the factors affecting back propagation training
  • e
    Explain Product of two Fuzzy sets with example
  • f
    Write the Fuzzy output variables for air conditioner
  • g
    Write the factors affecting the performance of fuzzy BP networ ks. 5 K3 SECTI5ON B
  • a
    Develop the structure of human brain with the help of neuro n
  • b
    Explain single la yer and multilayer perceptron neural
  • c
    Write short note on following terms i Fuzzy arithmetic ii Fuzzy to crisp conversion
  • d
    Explain membership function in fuzzy logic. What is the inference in fuzzy logic?
  • e
    Define the concept of a fuzzy neutron. How does it differ fr om traditional and probabilistic approaches to modeling systems?
Section CAttempt any one part of the following: 07 x 1 = 07
  • a
    With neat sketch explain activ ation function ? Explain its use in neuron mode
  • b
    Write the expression for bipolar continuous and bipolar bina ry activation function
  • a
    Discuss the Rosenblatt's perceptron model ?
  • b
    Generate the output of logic AND function by MeCulloch Pitts neuron model
  • a
    Explain crisp set operations
  • b
    Compare and contrast classical logic and fuzzy logic
  • a
    Explain fuzziness of fuzzy set and what is a fuzzy function ?
  • b
    Explain the Different methods of defuzzification process
  • a
    E x p l a i n t h e i n f e r e n c e p r o c e s s i n f u z z y B P . H o w i s f u z z i n e s s propagated through layers during the inference stage
  • b
    Discuss how L-R type fuzzy num bers are applied in decision-m aking scenarios. Provide a practical example where they are used to a ddress uncertainty

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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