Bsc CSIT Semester 4 – Artificial Intelligence – Unit V: Machine Learning (9 Hrs.)

How can you relate synapse, dendrite, and axon in biological neural networks with the elements of artificial neural networks? Create a multi-layer ANN with input layer, hidden layer, and output layer. Assume necessary inputs and weights to the ANN and illustrate a single iteration of backpropagation algorithm to train the ANN.

What is reinforcement learning? Configure an ANN neuron to simulate OR gate.

What is reinforcement learning? Configure an ANN neuron to simulate OR gate.

Differentiate supervised learning from unsupervised? Discuss how Naïve Bayes Model can be used for machine learning ? Support your answer with example.

Discuss how genetic algorithm works?

What is fuzzy logic? Discuss the different operators used in genetic algorithm

Give an example of reinforcement learning. Explain the types of ANN.

Describe mathematical model of neural network. What does it means to train a neural network? Write algoritmn for preceptron learning.

What is crossover operation in genetic algorithm? Given following chromosomes show the result of one-point and two point crossover.

C1 = 01100010

C2 = 10101100

Choose appropriate crossover points as per your own suggestions.

What is prosterior probability? Consider a scenario that a patient have liver disease is 15% probability. A test says that 5% of patients are alcholic. Among those patients diagnosed with liver disease, 7% are alcoholic. Now computer the chance of having liver disease, if the patient is alcoholic.

Define mathematical model of artificial neural network. Discuss how Hebbian learning algorithm can be used to train a neural network. Support your answer with an example.

Write an algorithm for learning by Genetic Approach.

Differentiate supervised learning from unsupervised learning. Discuss how Naïve Bayes Model can be used for machine learning. Support your answer with example.

Discuss how genetic algorithm works.