Question
a.
synaptic strength is proportional to changes of post and presynaptic neuron
b.
synaptic strength is proportional to changes of postsynaptic neuron only
c.
synaptic strength is proportional to changes of presynaptic neuron only
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 differential competitive learning?
Similar Questions
Discover Related MCQs
Q. What is error correction learning?
View solution
Q. Continuous perceptron learning is also known as delta learning?
View solution
Q. Widrows LMS algorithm is also based on error correction learning?
View solution
Q. Error correction learning is type of?
View solution
Q. Error correction learning is like learning with teacher?
View solution
Q. What is reinforcement learning?
View solution
Q. Reinforcement learning is also known as learning with critic?
View solution
Q. How many types of reinforcement learning exist?
View solution
Q. What is fixed credit assignment?
View solution
Q. What is probablistic credit assignment?
View solution
Q. What is temporal credit assignment?
View solution
Q. Boltzman learning uses what kind of learning?
View solution
Q. Whats true for sparse encoding learning?
View solution
Q. Whats true for Drive reinforcement learning?
View solution
Q. Whats true for Min-max learning?
View solution
Q. Whats true for principal component learning?
View solution
Q. Stability refers to adjustment in behaviour of weights during learning?
View solution
Q. Convergence refers to equilibrium behaviour of activation state?
View solution
Q. What leads to minimization of error between the desired and actual outputs?
View solution
Q. Stability is minimization of error between the desired and actual outputs?
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!