SOFT COMPUTING

1. What is Backpropagation in Neural Networks?

a) A method to adjust weights based on the error in predictions. b) A type of database management system. c) A programming language for AI. d) A hardware component used in robotics.

2. What is the primary goal of Backpropagation?

a) To minimize the error between the predicted and actual output. b) To store the input data. c) To visualize the results. d) To connect the network to external devices.

3. Which of the following is true about Backpropagation?

a) It uses gradient descent to update weights. b) It is a supervised learning algorithm. c) It requires labeled data. d) All of the above.

4. What is a Kohonen Neural Network?

a) A type of self-organizing map used for unsupervised learning. b) A type of database management system. c) A programming language for AI. d) A hardware component used in robotics.

5. What is the primary purpose of a Kohonen Neural Network?

a) To cluster and visualize high-dimensional data. b) To perform regression tasks. c) To classify data using supervised learning. d) To store large amounts of data.

6. Which of the following is a characteristic of Kohonen Neural Networks?

a) They use competitive learning. b) They require labeled data. c) They are used only for regression tasks. d) They are a type of supervised learning algorithm.

7. What is the role of the "neighborhood function" in Kohonen Neural Networks?

a) To determine the influence of a neuron on its neighbors during training. b) To store the input data. c) To visualize the results. d) To connect the network to external devices.

8. Which of the following is true about Backpropagation Neural Networks?

a) They are used for supervised learning tasks. b) They require labeled data. c) They use gradient descent to update weights. d) All of the above.

9. What is the main advantage of Kohonen Neural Networks?

a) They can cluster and visualize high-dimensional data. b) They are faster than Backpropagation Neural Networks. c) They require less memory. d) They are used only for regression tasks.

10. What is the primary difference between Backpropagation and Kohonen Neural Networks?

a) Backpropagation is used for supervised learning, while Kohonen Networks are used for unsupervised learning. b) Backpropagation is faster than Kohonen Networks. c) Kohonen Networks require labeled data. d) Backpropagation is used only for clustering tasks.

Backpropagation and Kohonen Neural Networks MCQs

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