Which of the following is FALSE about Radial Basis Function Neural Network?
A. It resembles Recurrent Neural Networks(RNNs) which have feedback loops.
B. It uses the radial basis function as an activation function.
C. While outputting, it considers the distance of a point with respect to the center.
D. The output given by the Radial basis function is always an absolute value.
Answer:A
Which of the following is FALSE about Radial Basis Function Neural Network?
A. It resembles Recurrent Neural Networks(RNNs) which have feedback loops. B. It uses the radial basis function as an activation function. C. While outputting, it considers the distance of a point with respect to the center. D. The output given by the Radial basis function is always an absolute value.
Explanation: Radial basis functions do not resemble RNN but are used as an artificial neural network, which takes a distance of all the points from the center rather than the weighted sum.