Q. What happens when number of available energy minima be more than number of patterns to be stored?

View solution

Q. What happens when number of available energy minima be less than number of patterns to be stored?

View solution

Q. The number of patterns that can be stored in a given network depends on?

View solution

Q. When are stable states reached in energy landscapes, that can be used to store input patterns?

View solution

Q. What can be done by using non – linear output function for each processing unit in a feedback network?

View solution

Q. Does linear autoassociative network have any practical use?

View solution

Q. In a linear autoassociative network, if input is noisy than output will be noisy?

View solution

Q. Which is a simplest pattern recognition task in a feedback network?

View solution

Q. How can learning process be stopped in backpropagation rule?

View solution

Q. Does backpropagaion learning is based on gradient descent along error surface?

View solution

Q. What are the general tasks that are performed with backpropagation algorithm?

View solution

Q. What are general limitations of back propagation rule?

View solution

Q. What is meant by generalized in statement “backpropagation is a generalized delta rule” ?

View solution

Q. There is feedback in final stage of backpropagation algorithm?

View solution

Q. What is true regarding backpropagation rule?

View solution

Q. The backpropagation law is also known as generalized delta rule, is it true?

View solution

Q. What is the objective of backpropagation algorithm?

View solution

Q. Feedforward networks are also used for autoassociation and pattern storage?

View solution

Q. Feedback networks are used for autoassociation and pattern storage?

View solution

Q. What are 3 basic types of neural nets that form basic functional units?

i)feedforward
ii) loop
iii) recurrent
iv) feedback
v) combination of feed forward and back

View solution