(SEM VIII) THEORY EXAMINATION 2020-21 APPLICATION TO SOFT COMPUTING

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SECTION A – Short Answer / Concept Check (2 × 7 = 14 marks)

 

Purpose of Section A
Section A checks your basic understanding and definitions of core soft computing concepts. Answers must be short, direct, and to the point. No long explanations are required here.

You are required to attempt all questions.

 

Type of questions asked
This section includes:                                                                 Definitions (like fuzzification)

Properties (like properties of fuzzy sets)                                   Applications (Neuro-Fuzzy System, ANN, GA)

Simple comparisons (hard vs soft computing)                         Diagrams or flowcharts (GA steps)

How to write answers in Section A                                       Write 2–4 crisp points per question

Use simple language

If asked for a diagram or flowchart, draw a neat labeled diagram

Avoid unnecessary theory

 

Example expectation
If the question asks “What is fuzzification?”, you should define it clearly in 2–3 lines and maybe give a small example.
If it asks applications, list 4–5 real-world uses.                        This section is scoring if answers are precise.

 

SECTION B – Medium Length Descriptive Questions (7 × 3 = 21 marks)

 

Purpose of Section B
Section B tests your conceptual clarity and explanation ability. You need to explain how and why things work.

You must attempt any three questions.

 

Type of questions asked
This section focuses on:                                                       Neural models (McCulloch–Pitts neuron)

Learning and training algorithms                                        Fuzzy set concepts (cardinality)

Real-world fuzzy applications (air conditioner control)

Genetic Algorithm terminology (chromosome, fitness, crossover, mutation)

 

Depth expected                                                       Proper definitions

Step-by-step explanation                                       Neat diagrams, wherever applicable

Examples to support answers                                  How to write answers

Start with a definition                                              Explain the concept clearly

Add diagram or flowchart if relevant                     End with an example or application

Example expectation
For “Explain air conditioner control using fuzzy logic”, you should:

Explain inputs and outputs                                      Describe fuzzy rules

Explain how comfort level is achieved                     Each answer should be about 1.5–2 pages in the exam.

 

SECTION C – Long Answer / Analytical Questions (7 × 5 = 35 marks)

 

Purpose of Section C
Section C checks your in-depth understanding, analytical thinking, and presentation skills. These are core exam questions.

 

You attempt one question from each unit, usually 5 questions total, each carrying 7 marks.

Type of questions asked
This section covers:                                                  ANN taxonomy and training algorithms

Perceptron and ADALINE models                           Backpropagation learning

Fuzzy logic membership functions and decision making

Fuzzy logic system components                             Genetic Algorithm operators and evaluation

GA fitness function design problems                     Depth expected

Full theoretical explanation                                    Proper architecture diagrams

Algorithms written step-by-step                        Mathematical expressions where required

Real-world examples                                              How to write answers

Begin with clear definition                                   Explain architecture / model

Write algorithm steps                                          Add diagram

Conclude with advantages or applications         Example expectation
For “Explain back propagation learning”, you should:

Define backpropagation                                        Explain forward and backward pass

Include weight update equation                           Explain learning process clearly

Each answer should be 2–3 pages with diagrams.

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