Explanation: Back propagation is the transmission of error back through the network to allow weights to be adjusted so that the network can learn. 3. Why are linearly separable problems of interest of neural network researchers?
A. Because they are the only class of problem that network can solve successfully
B. Because they are the only class of problem that Perceptron can solve successfully
C. Because they are the only mathematical functions that are continue
D. Because they are the only mathematical functions you can draw
Answer:A
Explanation: Back propagation is the transmission of error back through the network to allow weights to be adjusted so that the network can learn. 3. Why are linearly separable problems of interest of neural network researchers?
A. Because they are the only class of problem that network can solve successfully B. Because they are the only class of problem that Perceptron can solve successfully C. Because they are the only mathematical functions that are continue D. Because they are the only mathematical functions you can draw
Explanation: Linearly separable problems of interest of neural network researchers because they are the only class of problem that Perceptron can solve successfully 4. Which of the following is not the promise of artificial neural network?