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How can false minima be reduced in case of error in recall in feedback neural networks?

How can false minima be reduced in case of error in recall in feedback neural networks? Correct Answer by using probabilistic update

Hard problem can be solved by additional units not the false minima.

Related Questions

Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works.
Which of the following is true?
(i) On average, neural networks have higher computational rates than conventional computers.
(ii) Neural networks learn by example.
(iii) Neural networks mimic the way the human brain works.
A university library budget committee must reduce exactly five of eight areas of expenditure - I, J, K. L, M, N, O and P - in accordance with the following conditions: If both I and O are reduced, P is also reduced. If L is reduced, neither N nor O is reduced. If M is reduced, J is not reduced. Of the three areas J, K and N exactly two are reduced. If both K and N are reduced, which one of the following is a pair of areas neither of which could be reduced?
A university library budget committee must reduce exactly five of eight areas of expenditure—I, J, K, L, M, N, O and P—in accordance with the following conditions: If both I and O are reduced, P is also reduced.
If L is reduced, neither N nor O is reduced.
If M is reduced, J is not reduced.
Of the three areas J, K, and N exactly two are reduced. Question : If both K and N are reduced, which one of the following is a pair of areas neither of which could be reduced?
Can error in recall due to false minima be reduced?
How can error in recall due to false minima be reduced?
How can error in recall due to false minima be further reduced?
Consider the following statements with respect to the feedback from the control systems: 1. The feedback can improve stability or be harmful to stability if it is not properly applied. 2. The feedback can always improve stability. 3. In many situations, the feedback can reduce the effect of noise and disturbance on system performance. 4. In general, the sensitivity of the system gain of a feedback system of a parameter variation depends on where the parameter is located. Select the correct statements.
Consider the following statements with respect to the feedback of the control systems. i. Feedback can improve stability or be harmful to stability if it is not properly applied. ii. Feedback can always improve stability iii. In many situations the feedback can reduce the effect of noise and disturbance on system performance. iv. In general the sensitivity of the system gain of a feedback system of a parameter variation depends on where the parameter is located.
Consider the following statements with respect to the feedback of the control systems: 1. Feedback can improve stability or be harmful to stability if it is not properly applied. 2. Feedback can always improve stability 3. In many situations the feedback can reduce the effect of noise and disturbance on system performance. 4. In general the sensitivity of the system gain of a feedback system of a parameter variation depends on where the parameter is located.