Neural Networks Multiple Choice Questions on “Pattern Recognition″.
1. From given input-output pairs pattern recognition model should capture characteristics of the system?
A. true
B. false
Answer: A
Clarification: From given input-output pairs pattern recognition model should be able to capture characteristics of the system & hence should be designed in that manner.
2. Let a(l), b(l) represent in input-output pairs, where “l” varies in natural range of no.s, then if a(l)=b(l)?
A. problem is heteroassociation
B. problem is autoassociation
C. can be either auto or heteroassociation
D. none of the mentioned
Answer: B
Clarification: When a(l)=b(l) problem is classified as autoassociation.
3. Let a(l), b(l) represent in input-output pairs, where “l” varies in natural range of no.s, then if a(l)=!b(l)?
A. problem is heteroassociation
B. problem is autoassociation
C. can be either auto or heteroassociation
D. none of the mentioned
Answer: A
Clarification: When a(l) & b(l)are distinct, problem is classified as autoassociation.
4. The recalled output in pattern association problem depends on?
A. nature of input-output
B. design of network
C. both input & design
D. none of the mentioned
Answer: C
Clarification: The recalled output in pattern association problem depends on both input & design of network.
5. If a(l) gives output b(l) & a’=a(l)+m,where m is small quantity & if a’ gives ouput b(l) then?
A. network exhibits accretive behaviour
B. network exhibits interpolative behaviour
C. exhibits both accretive & interpolative behaviour
D. none of the mentioned
Answer: A
Clarification: This follows from basic definition of accretive behaviour in neural.
6. If a(l) gives output b(l) & a’=a(l)+m,where m is small quantity & if a’ gives ouput b(l)+n then?
A. network exhibits accretive behaviour
B. network exhibits interpolative behaviour
C. exhibits both accretive & interpolative behaviour
D. none of the mentioned
Answer: B
Clarification: This follows from basic definition in neural.
7. Can system be both interpolative & accretive at same time?
A. yes
B. no
Answer: B
Clarification: System can’t exhibit both behaviour at same time. since these are based on different approach & algorithm.
8. What are 3 basic types of neural nets that form basic functional units among
i)feedforward ii) loop iii) recurrent iv) feedback v) combination of feed forward & back
A. i, ii, iii
B. i, ii, iv
C. i, iv, v
D. i, iii, v
Answer: C
Clarification: These form the basic functional units of neural nets.
9. Feedback networks are used for autoassociation & pattern storage?
A. yes
B. no
Answer: A
Clarification: Feedback networks are typically used for autoassociation & pattern storage.
10. Feedforward networks are also used for autoassociation & pattern storage?
A. yes
B. no
Answer: B
Clarification: Feedforward networks are used for pattern mapping.