Question
a.
xb(t)=0
b.
xb(t)=1
c.
xb(t)=n(t), where n is noise component
d.
xb(t)=n(t)+1
Posted under Neural Networks
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. What is the condition in Stochastic models, if xb(t) represents differentiation of state x(t)?
Similar Questions
Discover Related MCQs
Q. What is asynchronous update in a network?
View solution
Q. Learning is a?
View solution
Q. What are the requirements of learning laws?
View solution
Q. Memory decay affects what kind of memory?
View solution
Q. How is pattern information distributed?
View solution
Q. What is supervised learning?
View solution
Q. Supervised learning may be used for?
View solution
Q. What is structural learning?
View solution
Q. What is temporal learning?
View solution
Q. Learning methods can only be online?
View solution
Q. Online learning allows network to incrementally adjust weights continuously?
View solution
Q. What is nature of input in activation dynamics?
View solution
Q. Adjustments in activation is slower than that of synaptic weights?
View solution
Q. What does the term wij(0) represents in synaptic dynamic model?
View solution
Q. What is hebbian learning?
View solution
Q. What is differential hebbian learning?
View solution
Q. What is competitive learning?
View solution
Q. What is differential competitive learning?
View solution
Q. What is error correction learning?
View solution
Q. Continuous perceptron learning is also known as delta learning?
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Neural Networks? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!