Cell Status Diagnosis for the Aluminum Production on BP Neural Network with Genetic Algorithm - Advanced Research on Computer Education, Simulation and Modeling - page 150

The result is TT =
0.9832 0.9952 0.9855 0.0091 0.0162 0.0126
0.0199 0.0108 0.0102 0.0147 0.0106 0.0142
0.9925 0.9895 0.9813 0.0116 0.0162 0.0130
0.0185 0.0072 0.0144 0.0119 0.0095 0.0188
0.9838 0.9858 0.9902
Fig. 3. Genetic algorithm flowchart
The ideal output, where T donates it, is:
1 1 1 0 0 0 0 0 0
0 0 0 1 1 1 0 0 0
0 0 0 0 0 0 1 1 1
Obviously after 80 times operation, we get the expectation.
4.2 System Application
Aluminum production cells status diagnosis system can detect the parameters of the
cell online, including voltage, electric current, alumina concentration and temperature.
Also this system could accomplish the status diagnosis during the electrolytic process.