Question

Why is the training of basis function is faster than MLFFNN?

(a) because they are developed specifically for pattern approximation

(b) because they are developed specifically for pattern classification

(c) because they are developed specifically for pattern approximation or classification

(d) none of the mentioned

I have been asked this question in an internship interview.

My doubt stems from Multi Layer Feedforward Neural Network in chapter Architectures for Complex Pattern and Applications of ANN of Neural Networks

Answer 1

The correct option is (c) because they are developed specifically for pattern approximation or classification

To elaborate: Training of basis function is faster than MLFFNN because they are developed specifically for pattern approximation or classification.