1. 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
Explanation: At this situation system exhibits some unwanted oscillations
2. Is pattern storage possible if system has chaotic stability?
a) yes
b) no
Explanation: Pattern storage is possible if any network exhibits either fixed point, oscillatory, chaotic stability.
3. 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
Explanation: Basins of attraction is a property of chaotic stability.
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
Explanation: These all are some objectives of learning laws.
5. A network will be useful only if, it leads to equilibrium state at which there is no change of state?
a) yes
b) no
Explanation: Its the basic condition for stability
6. Lyapunov function is vector in nature?
a) yes
b) no
Explanation:Lyapunov function is scalar in nature.
7. What’s the role of lyaopunov fuction?
a) to determine stability
b) to determine convergence
c) both stability & convergence
d) none of the mentioned
Explanation: lyapunov is an energy function.
8. Did existence of lyapunov function is necessary for stability?
a) yes
b) no
Explanation: It is sufficient but not necessary condition.
9. V(x) is said to be lyapunov function if?
a) v(x) >=0
b) v(x) <=0
c) v(x) =0
d) none of the mentioned
Explanation:It is the condition for existence for lyapunov function.
10. What does cohen grossberg theorem?
a) shows the stability of fixed weight autoassociative networks
b) shows the stability of adaptive autoaassociative networks
c) shows the stability of adaptive heteroassociative networks
d) none of the mentioned
Explanation: Cohen grossberg theorem shows the stability of fixed weight autoassociative networks.