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Soft Computing Tutorial Sheet 1 1. What is soft computing? 2. What role does soft computing play in everyday life? 3. What role can soft computing play in robotics? 4. Explain under what conditions hard computing fails. 5. What is artificial intelligence? 6. How can you use artificial intelligence to solve a maze? 7. What are production rules, and what is their application in artificial intelligence? 8. Explain the various soft-computing techniques. 9. When are hybrid systems preferred over normal systems? 10. Explain the term expert system. 11. Take any problem from real life and model it as an expert system. 12. Identify the possible inputs that a system could take while making a system that calculates the risk in stock investment. 13. Give at least five real life examples of (a) classification problems, (b) functional approximation problems, and (c) optimization problems. 14. Explain the concept of machine learning. 15. Based on your understanding, list the parameters on which machine learning depends. 16. What is pattern matching? 17. Derive a mathematical expression to find the degree of matching of two signals. 18. What is the role of soft computing in pattern matching? 19. Define the term noise. 20. What role does noise play in the performance of a system? 21. Explain the role of clustering in soft computing. 22. Cluster the data (1, 2, 3), (2, 1, 4), (4, 3, 2), (2, 2, 2), (1, 5, 2), (2, 2, 1), (1, 2, 1), (3, 3, 2), (1, 4, 2), (1, 4, 1) into two clusters using (a) k-means clustering and (b) fuzzy C-means clustering. Compare the results. 23. Identify the applications of a speech recognition system. 24. Comment about the future of soft computing. 25. Identify the applications of subtractive clustering in real life problems. 26. Comment on the applications of soft computing in game playing. 27. What features may be used for the detection of cancer in human beings? Asst. Prof. Dr. Mohammed Najm Abdullah