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Advanced Neural Network and Fuzzy System Practice Test
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A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain. Neural networks are also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the coreof deep learning algorithms.  Fuzzy Logic is used with Neural Networks as it mimics how a person would make decisions, only much faster. A... Show more
Advanced Neural Network and Fuzzy System Practice Test
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25 Questions

1. What is the heuristic function of greedy best-first search?
2. How many verb tenses are there in English language?
3. How many types of informed search method are in artificial intelligence?
4. Which is used to mediate between syntax and semantics?
5. When will further expansion is unnecessary for planning graph?
6. Which closely resembles propositional definite clause?
7. What is meant by probability density function?
8. How many conditions are available between two actions in mutex relation?
9. Fuzzy logic is usually represented as
10. What can’t be done in the semantic interpretation?
11. Which search uses only the linear space for searching?
12. How the entries in the full joint probability distribution can be calculated?
13. What is used to augment a grammar for arithmetic expression with semantics?
14. What is meant by persistence actions?
15. A mouse device may be:
16. Which search method will expand the node that is closest to the goal?
17. How the Bayesian network can be used to answer any query?
18. An expert system differs from a database program in that only an expert system:
19. Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.
20. Decision Tree is
21. In LISP, the atom that stands for “true” is
22. To which does the local structure is associated?
23. Which of the following is used for probability theory sentences?
24. What is meant by compositional semantics?
25. How many types of quantification are available in artificial intelligence?

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