Langevin learning ( MSTJN(5) = 2) is identical to BP except for an
additional Gaussian noise term (eq. (
)). In our view, LV is the
most powerful of all the algorithms for networks with many hidden layers,
even though it requires somewhat more CPU time [6,49].
Except for the noise level ( PARJN(6)), to which it is not very
sensitive provided it is less or equal to 0.1, it uses the same
parameters as BP.