Algorithm 1: Neural network

Step

Processes involved

1

Initialization of synaptic weights

2

Preprocess input block with CA and exam scores

3

Pass inputs to the real output block (O_real)

4

Compare if O_real matches E_expected; then successful

5

If O_real mismatch E_expected; then repeat step 3

6

Define boundaries for anomalous data points

7

Change coinciding synaptic weights with target and repeat step 2 until training set is empty

8

Record similar patterns in training set

9

If trained process is complete; then evaluate ANN

10

Return