Question
a.
the ability of a pattern recognition system to approximate the desired output values for pattern vectors which are not in the test set.
b.
the ability of a pattern recognition system to approximate the desired output values for pattern vectors which are not in the training set.
c.
can be either way
d.
none of the mentioned
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 generalization?
Similar Questions
Discover Related MCQs
Q. What are models in neural networks?
View solution
Q. What kind of dynamics leads to learning laws?
View solution
Q. Changing inputs affects what kind of dynamics directly?
View solution
Q. Activation value is associated with?
View solution
Q. In activation dynamics is output function bounded?
View solution
Q. What’s the actual reason behind the boundedness of the output function in activation dynamics?
View solution
Q. What is noise saturation dilemma?
View solution
Q. Broadly how many kinds of stability can be defined in neural networks?
View solution
Q. What is structural stability?
View solution
Q. What is global stability?
View solution
Q. Which models belongs to main subcategory of activation models?
View solution
Q. What is the assumption of perkels model, if f(x) is the output function in additive activation model?
View solution
Q. Who proposed the shunting activation model?
View solution
Q. What was the goal of shunting activation model?
View solution
Q. Activation models are?
View solution
Q. If xb(t) represents differentiation of state x(t), then a stochastic model can be represented by?
View solution
Q. What is equilibrium in neural systems?
View solution
Q. What is the condition in Stochastic models, if xb(t) represents differentiation of state x(t)?
View solution
Q. What is asynchronous update in a network?
View solution
Q. Learning is a?
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!
