Explain how following approaches contribute to Computational Intelligence: i) Fuzzy Logic ii) Neural Networks iii) Evolutionary Computing iv) Swarm Intelligence
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Explain how following approaches contribute to Computational Intelligence: i) Fuzzy Logic ii) Neural Networks iii) Evolutionary Computing iv) Swarm Intelligence
Define Computational Intelligence. Differentiate between Artificial Intelligence and Computational Intelligence.
Provide examples of successful applications of Computational Intelligence in different fields.
Explain how different methodologies synergistically combine in Computational Intelligence?
Define a Fuzzy Set? Explain in detail about Fuzzy set operations.
Write a short note on : i) Linguistics Variables and Hedges ii) Fuzzy Rules
Define Fuzzy logic Controllers. Explain different Fuzzy logic Controller Types.
Write a short note on : i) Membership Function ii) Fuzzification iii) Defuzzification iv) Fuzziness and Probability
| Subject Name | Computational Intelligence |
|---|---|
| Semester | VIII |
| Pattern Year | 2019 |
| Subject Code | 417530 |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | [6411]-184 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence & Data Science |
| Exam Type | INSEM |
| Exam Session | 2025 Mar INSEM |
| Watermark | ['CEGP013091', '49.248.216.237 10/03/2025 13:41:58 static-237'] |
Explain various applications of Computational Intelligence .
Describe any three paradigm of Computational Intelligence.
Difference between Artificial Intelligence and Computational Intelligence.
Describe Swarm Intelligence with example?
Explain different approaches to computational Intelligence.
Enlist & Explain challenges in Computational Intelligence.
Explain fuzzy inference with example?
Explain Fuzzy Logic controllers with its components?
What are member functions, and how are they categorized by type?
Difference Between Fuzzification & Defuzzification.
Write a Short Note on. i) Linguistics Variables and Hedges ii) Fuzzy Rules
Explain the characteristics of Fuzzy set?
| Subject Name | Computational Intelligence |
|---|---|
| Semester | VIII |
| Pattern Year | 2019 |
| Subject Code | 417530 |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | 6270-193 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence & Data Science |
| Exam Type | INSEM |
| Exam Session | 2024 Mar INSEM |
| Watermark | ['CEGP013091', '49.248.216.238 20/03/2024 13:34:37 static-238'] |
Define Swarm Intelligence and Explain Ant Colony Optimization algorithm.
Write short note on: i) Evolutionary Computation versus Classical Optimization ii) Ant Colony Optimization algorithm
Write short note on: i) Tournament selection method ii) Constraint Handling
What are genetic operators and what is their role in evolutionary algorithms?
Explain following Terminologies of Genetic Algorithm: a) Search space b) Genes c) Allele d) Trait e) Genotype and Phenotype
Write short note on : a) Selection operator in Genetic Algorithm. b) Stopping conditions used in genetic algorithms
What are types of mutation and cross over techniques? Explain in brief.
Explain Messy Genetic Algorithms.
Explain - Binary Representations, Floating Point Representations used in Genetic Algorithms.
Explain following Word embedding Techniques: i) Bag of Words ii) TF-IDF iii) Word2Vec iv) GloVe
Explain the process of Neural Style Transfer and discuss its applications.
Discuss the significance of pre-trained NLP BERT models and provide examples of their applications.
Describe the architecture of a Neural Machine Translation (NMT) model and discuss the role of Seq2Seq in NMT.
Define BLEU Score and BERT Score as metrics for evaluating machine translation. Compare traditional metrics with neural metrics in machine translation evaluation.
Describe the Network Theory Model in artificial immune systems.
Describe the working of the Artificial Immune System Algorithm.
Explain the concept of danger theory in the context of artificial immune systems.
Explain how the Clonal Selection Theory Model contributes to the development of artificial immune systems?
Explain the concept of the natural immune system. Compare it with artificial immune models.
Discuss the role of dendritic cells in the artificial imnrnne system. How are dendritic cell-based models utilized in problem-solving and optimization tasks?
| Subject Name | Computational Intelligence |
|---|---|
| Semester | VIII |
| Pattern Year | 2019 |
| Subject Code | 417530 |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6404]-385 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence and Data Science |
| Exam Type | ENDSEM |
| Exam Session | 2025 May Jun ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.237 24/05/2025 13:37:26 static-237'] |
What are the key performance measures used to evaluate the effectiveness of evolutionary algorithms?
What is swarm intelligence, and how does it differ from traditional optimization techniques?
Define Genetic programming and its application in symbolic regression?
Discuss the importance of selection in evolutionary algorithms and its impact on the convergence of the algorithm?
Explain the concept of population in evolutionary computing and its significance in the optimization processes?
Compare and contrast genetic algorithms, evolution strategies, evolutionary programming.
Explain the concept of an individual in the context of genetic algorithms and its role in the optimization process?
Explain the concept of Messy Genetic Algorithm?
Write the principles of the Holland Classifier system and its application?
Describe the process of selection in genetic algorithms, including the different selection strategies used?
What condition determines when a genetic algorithm stops iterating and returns the best solution found?
Explain the concept of initialization in genetic algorithms and its role in creating the initial population?
Compare and contrast Word2Vec and GloVe in terms of how they generate word embeddings?
Explain the architecture of a Seq2Seq model and its role in neural machine translation?
How does BERT (Bidirectional Encoder Representations from Transformers) work, and what are its advantages over traditional language models?
Describe the TF-IDF (Term Frequency-Inverse Document Frequency) weighting scheme and its significance in text representation?
Explain the concept of Artificial Immune Models and their significance in computational intelligence?
Describe the principles of Network Theory Model and its application in understanding immune system behaviour?
Discuss the role of antigen-presenting cells in immune activation and its representation in the Dendritic Cell Model?
Discuss the limitations and challenges of applying Artificial Immune System models in real-world applications?
| Subject Name | Computational Intelligence |
|---|---|
| Semester | VIII |
| Pattern Year | 2019 |
| Subject Code | 417530 |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6263]-390 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence & Data Science |
| Exam Type | ENDSEM |
| Exam Session | 2024 May Jun ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.238 08/05/2024 13:52:51 static-238'] |