Algorithm 3: ESSANN |
1: ESSANN approach (Input, Neurons, Iteration) Generate a source database |
2: Input
a database that includes every variation of variables that might exist Equip ESSANNs |
3: for Input = 1 to n do |
4: for Neurons = 1 to n do |
5: for iterate = 1 to n do |
6: Equip ESSANN |
7: ESSANN-Storage saves the highest value |
8: end for |
9: end for |
10: ESSANN-store based on inputs, preserve the most accurate forecasting ESSANN |
11: end for |
12: Return ESSANN-Storage ESSANN for all variable combination |
13: end approach |