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3. What is the name of the soft computing field that deals with the interaction between computers and human language?
4. What is the type of recurrent neural network that is well-suited for modeling long-term dependencies?
5. In fuzzy logic, what is the name of the operation that combines fuzzy sets based on their maximum or minimum values?
6. What is the name of the soft computing technique that is used to model human perception and sensory processing?
7. What is the name of the algorithm that is used to train a perceptron, a single-layer neural network?
8. In fuzzy logic, what is the t-norm that represents the intersection of fuzzy sets
12. What is the subfield of artificial intelligence that deals with developing human-like intelligent systems?
13. What is the name of the field that studies the computational modeling of human emotions?
15. What is the name of the fuzzy logic system that is used to control a washing machine?
16. In k-means clustering, what is the value of k that minimizes the within-cluster variance
17. In soft computing, what is the term used to describe the ability of a system to handle uncertainty and imprecision?
18. What is the name of the soft computing technique that is used to model human learning processes?

1. In neural networks, what is the activation function that outputs a value between 0 and 1
2. What is the name of the neural network architecture that is used for image recognition and classification?
9. What is the genetic algorithm parameter that controls the probability of mutation during evolution
10. In fuzzy logic, what is the defuzzification method that converts a fuzzy set into a crisp value based on the centroid?
11. What is the minimum number of neurons required in a hidden layer for a 2-input, 1-output XOR neural network
14. What is the type of machine learning where the algorithm learns from both labeled and unlabeled data?