Matlab Neural Networks Robustness

I created some simulated data for my neural networks model. There are some parameters in my inputs that are "randn" but constrained with a mean and variance. Now, with every run I get a different R value for my post training regression analysis. Most runs give similar values, but then I have some runs where the R is much lower than the rest.

Can someone please let me know why this problem is occurring?