NR
Code No: 75226/MT
M.Tech. – II Semester Regular Examinations, September, 2008 EXPERT SYSTEMS (Neural Networks) Time: 3hours
Max. Marks:60
1.a) b) c)
Answer any FIVE questions All questions carry equal marks --List out the characteristics of an expert system. Describe the basic function of an expert system. Write down the advantages of an expert system.
2.a) b)
Write short notes on semantic nets. Explain in detail about OAV triples.
3.a)
Explain the role played by probability as a tool in solving AI problems. b) A person is considering the purchase of a disk drive and is trying to decide among three brands. The following table shows the person’s preferences and probability of crashes within one year. (preferences are a function of cost, speed, capacity and reliability) Brand X Y z
Probability of choosing 0.3 0.5 0.2
Probability of a crash 0.1 0.3 0.6
Make up a probability table showing outcomes, prior, conditional, joint and posterior probabilities. 4.
Write short notes on the following: (a) TMS (b) Dempster Shafer theory.
5.a)
Explain in detail about the stages in the development of an expert system. List out the major errors and causes in expert systems and discuss.
b) 6.
Explain in detail about the expert system life cycle.
7.
Write short notes on the following: (a) Certainity Factors (b) Back ward chaining.
8.
Write short notes on MYCIN expert system. &_&_&_&