(SEM V) THEORY EXAMINATION 2022-23 APPLICATION OF SOFT COMPUTING

Course: B.Tech (Semester V)                                                   Subject Code: KCS-056

Subject Name: Application of Soft Computing                     Time: 3 Hours

Total Marks: 100

Section A – Short Answer Questions (2 × 10 = 20 Marks)

Answer all questions briefly:

Meaning of convergence in neural networks              Applications of associative memory

Limitations of the backpropagation algorithm            Definition of the perceptron model

Use of fuzzy logic                                                         Operations of crisp sets

Applications of fuzzy controllers                                  Definition of fuzzification

Applications of genetic algorithms                              Operators used in genetic algorithms

Section B – Descriptive Questions (10 × 3 = 30 Marks)

Attempt any three:

Recurrent auto-associative memory: advantages and disadvantages

Working of multilayer perceptron and problems in backpropagation

Operations used in fuzzy sets with examples

Importance of defuzzification and its types with examples

Different selection methods in genetic algorithms

Section C – Long Answer Questions (10 × 5 = 50 Marks)

Artificial Neural Networks (ANN):

Structure and layers of ANN                                   Synapse and structure of a neuron

Neural Network Models:

Single-layer ANN and perceptron model                Backpropagation algorithm with example

Fuzzy Logic:

Fuzzy relationships and difference between fuzzy and crisp logic

Basic components of a fuzzy logic system

Fuzzy Logic Applications:

Industrial uses of fuzzy logic                         Fuzzy implication and fuzzy controllers with real-life examples

Genetic Algorithms:

Two-point and uniform crossover                 Procedure of Genetic Algorithm