Predictive Behavior of a Computational Foot/Ankle Model through Artificial Neural Networks

Figure 2

Training process, feedforward network. The flowchart depicts the nested  for loop structure of feedforward network training, which ultimately chooses the optimal network of those tested based upon minimum mean square error (MSE). Along with this minimum error, the number of hidden neurons and seed value corresponding to the minimum error is output.