Enum fann::TrainAlgorithm
[−]
[src]
pub enum TrainAlgorithm { Incremental(IncrementalParams), Batch(BatchParams), Rprop(RpropParams), Quickprop(QuickpropParams), }
The Training algorithms used when training on fann_train_data
with functions like
fann_train_on_data
or fann_train_on_file
. The incremental training alters the weights
after each time it is presented an input pattern, while batch only alters the weights once after
it has been presented to all the patterns.
Variants
Incremental  Standard backpropagation algorithm, where the weights are updated after each training pattern. This means that the weights are updated many times during a single epoch and some problems will train very fast, while other more advanced problems will not train very well. 
Batch  Standard backpropagation algorithm, where the weights are updated after calculating the mean square error for the whole training set. This means that the weights are only updated once during an epoch. For this reason some problems will train slower with this algorithm. But since the mean square error is calculated more correctly than in incremental training, some problems will reach better solutions. 
Rprop  A more advanced batch training algorithm which achieves good results for many problems.

Quickprop  A more advanced batch training algorithm which achieves good results for many problems. The
quickprop training algorithm uses the 