1. What is a neural network?

    [2017, 2016, 2015, 2011]

  2. What is an artificial neural network (ANN)?

    [2021, 2018, 2012]

  3. Draw an analogy between artificial neural networks and biological neural networks.

    [2021, 2019, 2012]

  4. Give a simple mathematical model for a neuron.

    [2013]

  5. Describe the working principles of an artificial neural network with a diagram.

    [2020, 2018, 2017, 2015, 2011]

    Or

    Mention the architecture of an artificial neural network.

    [2019]

  6. Mention various types of learning paradigms in an ANN. Discuss any one.

    [2020, 2013]

    Or

    Mention the various types of learning paradigms in an ANN.

    [2018]

    Or

    Discuss the following learning situations of artificial neural networks:

  7. Differentiate between supervised and unsupervised learning.

    [2020, 2018, 2017, 2015, 2011]

    Or

    Compare supervised learning and unsupervised learning.

    [2013]

    Or

    What are the differences between supervised and unsupervised learning?

    [2016]

  8. Describe the McCulloch-Pitts artificial neuron model.

    [2021, 2016, 2012]

    Or

    Explain the McCulloch-Pitts neuron.

    [2020, 2018, 2014]

  9. Discuss Rosenblatt's perceptron learning algorithm.

    [2021]

  10. Describe the single-layer feed-forward neural networks briefly.

    [2016]

  11. Explain the multi-layer feed-forward neural network with an algorithm.

    [2014]

    Or

    Explain the backpropagation learning algorithm with an example.

    [2011]

    Or

    Write down the backpropagation algorithm.

    [2020, 2016]

    Or

    Explain the backpropagation learning algorithm in a multi-layer neural network.

    [2018, 2014, 2013]

  12. Show the classification of learning algorithms used in neural networks.

    [2017]

  13. Give the comparison of conventional and neural network computation.

    [2017]

  14. What is perceptron? How does the perceptron learn?

    [2020, 2017, 2011]

  15. Write the steps of the perceptron's training algorithm.

    [2020, 2018, 2012]

  16. Mention the weight updating rule in perceptron learning.

    [2014]

  17. Explain why perceptron can learn the operations of AND, and OR but not XOR.

    [2019, 2018, 2015, 2012]

  18. How do you solve XOR with a multilayer perceptron?

    [2021]

    Or

    State and explain XOR problem. Also, discuss how to overcome it.

    [2014]

  19. Draw and explain the biological neuron.

    [2017, 2015]

  20. What are the features of biological neural networks that make it superior to even the most sophisticated AI computer systems?

    [2014]