MCASemester 42024-25Neural NetworkKCA042

Neural Network (KCA042) - AKTU Question Paper 2024-25

MCA · Semester 4 · Free PDF Download

This is the official AKTU Neural Network Previous Year Question Paper for MCA Semester 4, academic session 2024-25. 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:2024-25

University:AKTU / UPTU

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Questions Asked in 2024-25

Neural Network (KCA042) — complete question paper · 100 marks · 3 Hours

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

a
What are the features of neural networks?
b
Differentiate between supervi sed and unsupervised learning in artificial neural networks
c
What are main components of M cCulloch-Pitts neuron model?
d
Explain why a single-layer perceptron cannot solve nonlinearly separable problems
e
Why moment based heuristic i s used in back propagation?
f
Differentiate between local min ima and global minima back propagation learning algorithm
g
What is a recurrent neural network (RNN)?
h
What do you mean by principal component analysis (PCA)? 4 K1 i. What is meant by hybrid soft computing techniques? 5 K1 j. Write down the application of Soft computing

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

a
What does "competitive learni ng" mean in the context of ANNs?
b
What is Hebbian learning and ho w is it applied in Hebb networks?
c
Explain Multi-layer neural n etwork with proper diagram
d
Describe the architecture and training algorithm of Kohonen’ s Self- Organizing Feature Map (SOM)
e
Explain the basic concept and working of Support Vector Mach ines (SVM)

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

a
Define knowledge representati on and explain it with proper example
b
Explain the statistical nature of the learning process in artificial neural networks (ANNs)
a
Discuss the various activat ion functions. Explain them schematically
b
Compare gradient descent and least mean square (LMS) algorithms in perceptron training
a
Explain the backpropagation algorithm in multilayer networks. How does it address the problem of local minima?
b
What is a Radial Basis Functi on (RBF) network? Explain its architecture, training procedure, and approximation capabilities
a
Explain the architecture and learning algorithm of Learning Vec tor Quantization (LVQ)
b
Compare and contrast Principal Component Analysis (PCA) and Independent Component Analysis (ICA)
a
Explain the Cognitron network and its biological inspiration. How does its hierarchical structure differ from a multilayer perceptron (MLP)?
b
Describe the architecture of a hybrid neuro-fuzzy system 5 K 1

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.

Repeated Questions — KCA042

Questions that appeared in more than one session, found by comparing 3 years of Neural Network papers (2021-22, 2022-23, 2024-25)

What are the features of neural networks?

Appeared in: 2022-23 · 2024-25

Differentiate between local min ima and global minima back propagation learning algorithm