The next parameter that we can change is a performance function before Dave, let me just undo this
one and back to the member.
Also, you don't need this anymore, since we have not the train function, just run the network one
more time to make sure that we have a good 15 two.
OK, that is good.
And we have a best algorithm for this data.
Now we can move on and change the performance function for changing the performance function.
The one which has been selected as the default is meniscal error.
To check the rest of them, you can just simply type help and neural network and then performance will
be cleared to come out.
We do anticipate here so we can see we have a mean absolute error or performance function.
And if you click on it, you can get more information or just simply to repeat.
And the hell it just gives you the absolute value.
And then the mini square root, which has been set up by default.
We have a sum some of absolute our performance function.
We have SC, which is so squared error, performance function and Tormore again, you can do the experiment,
you can change different performance functions to find the best fit.
But here, for example, Menagh Square Herer is good and actually it's working very well with most of
the systems and most of their network.
So let's just not change it and move on to the next part, which would be choosing the plot function.