Question

Which of the following is untrue regarding Prediction with Neural Networks?

(a) It has to be first trained by sequences with known structures

(b) Between input and output are many connected hidden layers

(c) Between the connected hidden layers the machine learning takes place to adjust the mathematical weights of internal connections

(d) It doesn’t have to be first trained by sequences with known structures

I got this question during an online exam.

Query is from Protein Secondary Structure Prediction  for Globular Proteins in division Secondary Structure Prediction of Bioinformatics

Answer 1

The correct choice is (d) It doesn’t have to be first trained by sequences with known structures

Easy explanation: The neural network has to be first trained by sequences with known structures so it can recognize the amino acid patterns and their relationships with known structures. During this process, the weight functions in hidden layers are optimized so they can relate input to output correctly. When the sufficiently trained network processes an unknown sequence, it applies the rules learned in training to recognize particular structural patterns.