Gujarat Technological UniversitySummer 2026 examination

GTU 3170924 AI and Machine Learning Summer 2026 Question Paper & PDF

B.E. · Electrical Engineering · Semester 7 · Subject code 3170924
Download official PDFView PDF here
Share with your class
Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 2:30 PM – 5:00 PM
Questions
5 with internal choice
No solutions on this paper yetNeed them for your exam? Ask once. Papers that students ask for are solved first, and we aim to add them within 24 hours.

Q.1

14 Marks
(a)
3 marks
What is artificial intelligence? Discuss properties of AI.
(b)
4 marks
Explain any one defuzzification method in detail.
(c)
7 marks
Compare Artificial intelligence and human intelligence.

Q.2

14 Marks
(a)
3 marks
Explain Biological neurons.
(b)
4 marks
Discuss basic structure of ANN with neat diagram.
(c)
7 marks

What is the significant of the activation function? Explain various activation functions used in feed forward NN.

(c)
7 marks
Illustrate various types of learning methods in neural network.

Q.3

14 Marks
(a)
3 marks
Explain Dimensionality Reduction technique.
(b)
4 marks
Define feature selection in machine learning. Enlist the steps involved.
(c)
7 marks

Differentiate simple linear regression method and multiple linear regression method used for prediction of output.

(a)
3 marks

What are decision trees? Explain the meaning of decision node and leaf node.

(b)
4 marks

Interpret collaborative filtering. Why it is used in recommender systems?

(c)
7 marks
Briefly describe the working of KNN algorithm.

Q.4

14 Marks
(a)
3 marks

Explain the concept of hyperplanes, support vectors and the kernel trick in SVM.

(b)
4 marks
Explain concept of support vector machine.
(c)
7 marks

Explain Logistic Regression approach in Machine Learning. Is Logistic Regression a Classification or Regression technique?

(a)
3 marks
Explain benefits and limitation of fuzzy logic system.
(b)
4 marks

Find the crisp output Y1 and Y2 for the following membership functions using Centre of Area Defuzzification method. Assume X1=X2=4.

(c)
7 marks

Brief various types of Membership Function used in fuzzy system and discuss any three MF in detail.

Q.5

14 Marks
(a)
3 marks

Is clustering approach supervised or unsupervised method of learning? Explain with the help of appropriate example.

(b)
4 marks
Distinguish between machine learning and deep learning.
(c)
7 marks
Explain agglomerative hierarchical clustering in brief.
(a)
3 marks
Explain genetic algorithm operator: Selection.
(b)
4 marks
Explain any one crossover technique with an example.
(c)
7 marks

With the help of a flowchart, explain the concept of Genetic Algorithm and importance of Mutation and Crossover for the same.

More AI and Machine Learning papers

Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.

Preparing with friends?

Send this paper to your class group. Every question has its own link.

About this paper

Official Gujarat Technological University (GTU) examination paper for AI and Machine Learning (Summer 2026, B.E. · Electrical Engineering, Sem 7). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.

Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.

ViewDownload PDF