Jawaharlal Nehru Technological University Hyderabad
Jawaharlal Nehru Technological University Hyderabad B.Tech IV SOFT COMPUTING Previous Question Paper (January/February - 2023 - R18)
Note: i) Question paper consists of Part A, Part B. ii) Part A is compulsory, which carries 25 marks. In Part A, Answer all questions. iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.
Part A
List the differences between soft computing and hard computing.
Answer
Hard computing relies on precision, certainty, and binary logic, typically using deterministic algorithms. In contrast, soft computing deals with imprecision, uncertainty, and partial truth, utilizing techniques like fuzzy logic, neural networks, and evolutionary algorithms to achieve robustness and low-cost solutions.
What is a neural network?
Answer
A neural network is a computational model inspired by the structure and functional aspects of biological neural networks. It consists of interconnected nodes (neurons) organized in layers that process information by adjusting weights during a training process to learn patterns and relationships in data.
What is relational join?
Answer
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State extension principle for fuzzy sets.
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Quote an example for multi criteria decision making.
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List the variants of particle swarm optimization.
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What is evolutionary computing?
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Illustrate multipoint crossover.
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How to reduce attributes in rough sets?
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List neuro fuzzy systems.
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Part B
Outline the recent trends and advancements in soft computing.
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Explain in detail about various soft computing methods.
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Explain the properties of intuitionistic fuzzy relations and composition of two IFRs with examples.
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With suitable examples, discuss fuzzy propositions used in fuzzy rule based systems.
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Compare and contrast problem solving with decision making.
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Describe the clustering model of particle swarm optimization.
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Explain the basic concepts and operators of genetic algorithms.
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Discuss the importance of fitness function in genetic algorithm.
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Differentiate between mutation and crossover operations.
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Demonstrate fuzzy C-Means clustering algorithm.
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Elaborate integration of soft computing techniques in information retrieval and semantic web.
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