MCASemester 42021-22Neural NetworkKCA-042
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Neural Network (KCA-042) - AKTU Question Paper 2021-22

MCA · Semester 4 · Free PDF Download

This is the official AKTU Neural Network Previous Year Question Paper for MCA Semester 4, academic session 2021-22. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:MCA
Semester:Semester 4
Session:2021-22
University:AKTU / UPTU

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Questions Asked in 2021-22

Neural Network (KCA-042) — extracted question text

Section AAttempt all q u e s t i o n s i n b r i e f . 2x10 = 20
  • a
    Define error correction learning. 1
  • b
    What is the neuron importance in neural network? 1
  • c
    How activation function works? 2
  • d
    Differentiate between Aggreg ation and Activation function. 2
  • e
    Define single layer network. 3
  • f
    Differentiate between local minima and global minima. 3
  • g
    How recurrent network works? 4
  • h
    What do you mean by principal component analysis? 4 (i) Define soft compu ting with example. 5 (j) What do you mean by special networks? 5
Section BAttempt any three o f t h e f o l l o w i n g : 1 0 x 3 = 3 0
  • a
    Discuss the relevant computational properties of the Human Brain? 1
  • b
    What is perceptron? Write the differences between Single La yer Perceptron(SLP) and Multilayer Perceptron(MLP)
  • c
    What is RBF? Explain RBF properties with example. 3
  • d
    Illustrate the independent c omponent analysis with proper example. 4
  • e
    Differentiate between complex valued NN and complex valued BP. 5
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 1 0 x 1 = 1 0
  • a
    Define knowledge representati on and explain it with proper example. 1
  • b
    What is Supervised learning and how it is differ from unsup ervised learning? 1
  • a
    Discuss the bench mark problem in neural network. 2
  • b
    Illustrate about the McCulloch-Pitts neuron model with diag ram. 2
  • a
    Write the algorithm of generalized delta rule(Back Propagat ion Algorithm) and explain with example
  • b
    Explain Multi-layer neural network with proper diagram. 3
  • a
    Discuss in brief about Kohonen self-organizing feature maps architecture. 4
  • b
    Explain the architecture of Learning vector quantization. 4
  • a
    Explain support vector machine and when this technique is r equired? 5
  • b
    Discuss about the Hybrid soft computing techniques with exa mple. 5

Question text is extracted from the official AKTU question paper PDF above. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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