Fast learning method for RAAM based on sensitivity analysis

Recursive Auto-Associative Memory is the fundamental connectionist model successfully applied in the domain of structured data, such as sequences and graphs. Application of sensitivity based learning method, previously used only for feedforward neural networks, allows faster training of RAAM networks, at the same time providing adequate precision of compression and reconstruction.