High Order Neural Networks for Efficient Associative Memory Design
Dreyfus, Gérard, Guyon, Isabelle, Nadal, Jean-Pierre, Personnaz, Léon
–Neural Information Processing Systems
We propose learning rules for recurrent neural networks with high-order interactions between some or all neurons. The designed networks exhibit the desired associative memory function: perfect storage and retrieval of pieces of information and/or sequences of information of any complexity.
Neural Information Processing Systems
Dec-31-1988