What are the difference between ADAPT and TRAIN?

I would like to know what the differences are between the ADAPT and TRAIN functions.

Answer 1

[MathWorks Support Team]

The difference between these training methods is that ADAPT is optimized for situations where the order in which the data is presented matters. An example application would be filtering a time-based signal. TRAIN disregards the sequential order of the data, and treats the error of the entire set in each training epoch. If you use ADAPT with an input sequence of [1 10 2], you'll see poor performance when passing in the input sequence [2 1 10]. If you use TRAIN, then you should get the same result for an input of 2 no matter its location in the sequence of inputs.