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CS607 ALL Current Final Term Papers Fall 2016 & Past Final Term Papers at One Place from 25 February 2017 to 08 March 2017

CS607 ALL Current Final Term Papers Fall 2016 & Past Final Term Papers at One Place from 25 February 2017 to 08 March 2017

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 zain nasar thanks 

plz students share your cs607 current paper

My Today Paper 02-25-2017

---40 MCQ's-----

---12 Questions-----

Paper was very Easy

10 - 12 MQC's From Past

Here something i remember.....

 

  • Write simple command for Adding 2 numbers 3 and 4.
  • Write Soft Computing Techniques .
  • Write Different Knowledge Acquisition techniques.
  • Which Technique is categorized as unsupervised ?
  • Boolean logic is a subset of fuzzy logic.  Do you agree with the statement or not? Give reason
  • Explain Un-Supervised Learning methodology.
  • Which term is best suited for a function that is used specially to drive out the degree of truth in fuzzy sets?
  • A Person want to know about Artificial Intelligence, how do u Explain. 

      Enjoy Study ! ! !

      Regards 

      M Ather

Thanks for sharing

M Ather ye btana k arslan arshad wali file sy ay mcqz ya nhi.

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Moaz File se ay thy mai bs wohi dekhi

+ α†hεr вѕcѕ 8тн  thanks for sharing...best of luck 

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                                     My Today Paper 02-27-2017

aper timing 11:00 am
Paper was very Easy and almost 90% paper from these attached files below

Write down the task for which connectionist approach is well suited. 5 marks

Answer:- (Page 181) Tasks for which connectionist approach is well suited include:

• Classification • Fruits – Apple or orange

• Pattern Recognition • Finger print, Face recognition

• Prediction • Stock market analysis, weather forecast

“Boolean logic is a subset of fuzzy logic.” Do you agree with the statement or not? Give reason to support your answer.(Marks 3)

Answer:- (Page 147) Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the concept of partial truth -- truth values between "completely true" and "completely false". For example, There are two persons. Person A is standing on the left of person B. Person A is definitely shorter than person B. But if boolean gauge has only two readings, 1 and 0, then a person can be either all or short. Let‟s say if the cut off point is at 5 feet 10 inches then all the people having a height greater than this limit are taller and the rest are short.

Five parts of fuzzy inference process? 5 marks

Answer:- (Page 154) • 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

2.Write the code in CLIPS to add two digits 3 and 4? (2)
Answer:

            CLIPS> (+ 3 4)

7- Which type of ordering in hypothesis spaces is best suited from h <?, ?> hypothesis and towards h <φ, φ> hypothesis (3 marks)

Answer:

            All the hypothesis in h can be ordered according to their generality, starting from the <?,  ?> which is the most general hypothesis since it always classifies all the instances as positive. On the contrary, we have < φ, φ >which is the most specific hypothesis since it doesn’t classify a single instance as positive. 

Q: Unsupervised Methodology (5 marks)        

Answer:                                                                                         

Given a set of examples with no labeling, group them into sets called clusters.

  • A cluster represents some specific underlying patterns in data.
  • Useful for finding patterns in the large data sets.
  • Form clusters of input data.
  • Map output of clusters.
  • Given a new example, find cluster and generate into associated output.
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