Java Bidirectional Associative Memory Neural Network

Bidirectional associative memory (BAM) is a type of neural network developed by Bart Kosko in 1988. The BAM is a recurrent neural network that works similarly that allows patterns of different lengths to be mapped bidirectionally to other patterns. This allows it to act as almost a two-way hash map. During training the BAM is fed pattern pairs. The two halves of each pattern do not have to be the to be of the same length. However all patterns must be of the same overall structure. The BAM can be fed a distorted pattern on either side and will attempt to map to the correct value.

The BAM network modeled in the Encog Workbench looks like this: