Jawaharlal Nehru Technological University Hyderabad
Jawaharlal Nehru Technological University Hyderabad B.Tech IV Year SOFT COMPUTING Previous Question Paper (July/August - 2023 - R18)
Note: Part A is compulsory (25 marks). In Part B, answer any one question from each unit (50 marks).
Part A
What is the importance of artificial neural network? Explain.
Answer
- Artificial Neural Networks (ANN) are essential for modeling complex, non-linear relationships between inputs and outputs where traditional algorithmic approaches fail.
- They provide robustness and fault tolerance, as information is distributed across the network, allowing them to perform well even with noisy or incomplete data.
- Their ability to learn from experience (training) makes them ideal for pattern recognition, classification, and predictive modeling tasks.
Discuss about evolutionary computing.
Answer
- Evolutionary Computing is a sub-field of artificial intelligence inspired by biological evolution, specifically the principles of natural selection and genetics.
- It utilizes iterative processes involving population-based search techniques, where candidate solutions evolve over generations through operators like selection, crossover, and mutation.
- It is highly effective for solving complex optimization problems where the search space is large, non-differentiable, or multi-modal.
Explain about fuzzy relational join.
Answer
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What is fuzzy Cartesian product? Explain.
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Explain about ANN PSO.
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What is multi criteria fuzzy decision making? Explain.
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Write the applications of genetic algorithms.
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What is uniform crossover and crossover rate? Explain.
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Write the significance of Rough Membership Function.
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Explain about reduct and core in rough sets.
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Part B
What are the characteristics of soft computing? Explain.
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What are the applications of soft computing in software engineering? Discuss.
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Distinguish between hard computing and soft computing techniques.
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Compare and contrast Fuzzy sets and Intuitionistic Fuzzy Sets with examples.
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Explain the basic operations carried on fuzzy sets with examples.
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What are the properties of Binary Fuzzy Relations? Discuss.
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What are the operations performed on Intuitionistic Fuzzy Sets? Explain with examples.
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Explain the center of area method of defuzzification with example.
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What are the variants of PSO algorithm? Discuss.
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Discuss about individual fuzzy decision making and multi-person decision making.
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Explain the implementation of PSO algorithm.
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What is fuzzy decision making? Explain about multistage fuzzy decision making.
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What is the importance of fitness function in genetic algorithms? Explain.
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Differentiate between two-point crossover and multi point crossover.
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Explain the history of genetics algorithm to its present state.
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What are the basic operators used in genetic algorithm? Discuss with examples.
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Write a detailed note on neuro fuzzy systems.
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Explain Rough Fuzzy C-Means Algorithm with an example.
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Explain the fundamentals of Rough set theory.
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Write a detailed note on fuzzy neural networks.
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