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Engineering BE Electronics and Computer Science Sem 7 December 2019 2019 Artificial Inteligence AI ETRXElective ICBSGS Question Paper - Mumbai University | munotes

December 2019 Question Paper.pdf
ELECTRONICS ELECTRONICS & COMPUTER SCIENCE · 158 KB · 1 May 2025

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Questions asked in this paper

  1. Q1 (a). Explain k means algorithm. 5 marks
    • (b) Explain the different types of activation functions. 5
    • (c) Mc-culloch Pitts model for OR function. 5
    • (d) Model the following as fuzzy set using suitable membership function. "Number close 5
  2. Q2 (a) Design the fuzzy controller to control the feed amount of the coagulant for the water purification plant. Raw water is purified by injecting chemicals at rate related to water quantity. Aluminium sulphate or PAC (polymerized aluminium chloride) is used as coagulant. Aluminium sulphate is less expensive than PAC but is not effective in low temperature water. Assume inputs water temperature (cold, normal, hot) and grade of water (low, medium, high), output variable amount of coagulant(small, medium and large) . Derive the rule for control action and defuzzification The design should be supported by figure whenever necessary. Clearly indicate that if water temperature is low and grade of water quality is low then PAC is used in large amount 12 marks
    • (b) Explain the concept of linear separability with suitable example. 8
  3. Q3 (a) Explain Hebbian learning rule with the help of an example. 10 marks
    • (b) perceptron training rule for implementing AND function for bipolar inputs and 10 target(Repeat for two EPOCHS)
  4. Q4 (a) Error Back Propagation algorithm with a neat flow chart. 10 marks
    • (b) a short note on Kohonen self organizing maps. 10
  5. Q5 (a) Explain any five defuzzification methods 10 marks
    • (b) Explain the method of solving EX-OR problem using RBF and MLP 10
  6. Q6 (a) Ifthe two fuzzy sets are given as- Find the complement, union, intersection, difference and De-Morgan's law 10 marks
    • (b) Draw and explain the architecture of Auto associative neural network. 10

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