Explore topic-wise MCQs in Neural Networks.

This section includes 11 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Networks knowledge and support exam preparation. Choose a topic below to get started.

1.

A network will be useful only if, it leads to equilibrium state at which there is no change of state?

A. yes
B. no
Answer» B. no
Discussion
2.

Stability is minimization of error between the desired & actual outputs?

A. yes
B. no
Answer» C.
Discussion
3.

A_NETWORK_WILL_BE_USEFUL_ONLY_IF,_IT_LEADS_TO_EQUILIBRIUM_STATE_AT_WHICH_THERE_IS_NO_CHANGE_OF_STATE??$

A. yes
B. no
Answer» B. no
Discussion
4.

What is an objective of a learning law?

A. to capture pattern information in training set data
B. to modify weights so as to achieve output close to desired output
C. it should lead to convergence of system or its weights
D. all of the mentioned
Answer» E.
Discussion
5.

If states of system experience basins of attraction, then system may achieve what kind of stability?

A. fixed point stability
B. oscillatory stability
C. chaotic stability
D. none of the mentioned
Answer» D. none of the mentioned
Discussion
6.

Is pattern storage possible if system has chaotic stability?

A. yes
B. no
Answer» B. no
Discussion
7.

If weights are not symmetric i.e cik =! cki, then what happens?

A. network may exhibit periodic oscillations of states
B. no oscillations as it doesn’t depend on it
C. system is stable
D. system in practical equilibrium
Answer» B. no oscillations as it doesn‚Äö√Ñ√∂‚àö√ë‚àö¬•t depend on it
Discussion
8.

How many trajectories may terminate at same equilibrium state?

A. 1
B. 2
C. many
D. none
Answer» D. none
Discussion
9.

What leads to minimization of error between the desired & actual outputs?

A. stability
B. convergence
C. either stability or convergence
D. none of the mentioned
Answer» C. either stability or convergence
Discussion
10.

Convergence refers to equilibrium behaviour of activation state?

A. yes
B. no
Answer» C.
Discussion
11.

Stability refers to adjustment in behaviour of weights during learning?

A. yes
B. no
Answer» C.
Discussion