Crossword 1

2. What is the type of recurrent neural network that is well-suited for modeling long-term dependencies?
4. What is the name of the soft computing technique that is used to model human learning processes?
5. What is the name of the algorithm that is used to train a perceptron, a single-layer neural network?
8. What is the name of the field that studies the computational modeling of human emotions?
10. In neural networks, what is the activation function that outputs a value between 0 and 1
11. In fuzzy logic, what is the t-norm that represents the intersection of fuzzy sets
13. In fuzzy logic, what is the name of the operation that combines fuzzy sets based on their maximum or minimum values?
15. What is the type of machine learning where the algorithm learns from both labeled and unlabeled data?
16. What is the name of the neural network architecture that is used for image recognition and classification?

1. What is the subfield of artificial intelligence that deals with developing human-like intelligent systems?
3. What is the name of the fuzzy logic system that is used to control a washing machine?
6. In fuzzy logic, what is the defuzzification method that converts a fuzzy set into a crisp value based on the centroid?
7. What is the genetic algorithm parameter that controls the probability of mutation during evolution
9. What is the minimum number of neurons required in a hidden layer for a 2-input, 1-output XOR neural network
12. In soft computing, what is the term used to describe the ability of a system to handle uncertainty and imprecision?
14. In k-means clustering, what is the value of k that minimizes the within-cluster variance