A random set of weights and bias values is generated, those values are inserted into the neural network using function setweights, and then the accuracy is computed and checked against the best ...

In this post, we’ll discuss some of the differences between fixed and random effects models when applied to panel data — that is, data collected over time on the same unit of analysis — and how these ...