CS607 Current Final Term Fall 2013 Shared by Sana_Rajpoot File 5

CS604 current Final term paper 1-3-2014
MCQs half were new and half were old!
Q1) What is Goal in Strips? Give an example. (2 Marks)
Goal is also represented in the same manner as a state. For example, if the goal of a planning problem is to be at the hotel with radio, it is represented as,
at(hotel) ^ have(radio)
Q2) Write two fields or data types of CLIPS? (2 Marks)
Fields are the main types of fields/tokens that can be used with clips. They can be:
1. Numeric fields: consist of sign, value and exponent
• Float .e.g. 3.5e-10
• Integer e.g. -1 , 3
2. Symbol: ASCII characters, ends with delimiter. e.g. family
3. String: Begins and ends with double quotation marks, “Ali is Ahmed’s brother”
Q3) What is Knowledge elicitation? (2 Marks)
Getting knowledge from the expert is called knowledge elicitation vs. the broader term knowledge acquisition.
Q4) What do you know about Training Process? (2 Marks)
Ans:
Real learning involves some generalization from past experience and usually some coding of memories into a more compact form. Achieving this generalization needs some form of reasoning.
Q5) Who does neural network resemble the human brain. (3 Marks)
Ans:
It resembles the brain in two respects:
• Knowledge is acquired by the network through a learning process (called training).
• Interneuron connection strengths known as synaptic weights are used to store the knowledge.
Q6) Write down fuzzy statement in everyday life. Elaborate and give reason. (3 Marks)
Q7) Write 3 advantages of Artificial Neural Networks. (3 Marks)
Ans:
Advantages of Artificial Neural Networks:
Excellent for pattern recognition
Excellent classifiers
Handles noisy data well
Good for generalization
Q8) How decision tree and candidate elimination algorithm work with disjunctions of conjunctions,? (3 Marks)
Q9) Discuss ID3 in decision tree representation? (5marks)
Ans:
ID stands for interactive dichotomizer. The first step of ID3 is to find the root node. It uses a special function GAIN, to evaluate the gain information of each attribute. For example if there are 3 instances, it will calculate the gain information for each. Whichever attribute has the maximum gain information, becomes the root node. The rest of the attributes then fight for the next slots.
Q10) “Planning predicate is a predicate that define states and condition is a predicate that is used to change states”. Do you agree with the statement or not? (5 Marks)
Q11) (P→Q) ^ ¬ (P ^ (Q ^ ¬R)) Convert into Conjunctive Normal Form (CNF)? (5 Marks)
Ans: (¬ P v Q) ^ (¬ P v (¬ Q v R))---------final form
Q12) Five parts of fuzzy inference process? (5 Marks)
Five parts of the fuzzy inference process
• Fuzzification of the input variables
• Application of fuzzy operator in the antecedent (premises)
• Implication from antecedent to consequent
• Aggregation of consequents across the rules
• Defuzzification of output
Stay Blessed remember me in ur prayers!