A multidirectional associative memory based on self-organizing incremental neural network

Authors:
Hui Yu;Furao Shen;Osamu Hasegawa
Affiliations:
National Key Laboratory for Novel Software Technology, Nanjing University, China and Jiangyin Information Technology Research Institute, Nanjing University, China;National Key Laboratory for Novel Software Technology, Nanjing University, China and Jiangyin Information Technology Research Institute, Nanjing University, China;Imaging Science and Engineering Lab., Tokyo Institute of Technology, Japan
Venue:
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Year:
2010

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Abstract

A multidirectional associative memory (AM) is proposed. It is constructed with three layer networks: an input layer, a memory layer, and an associate layer. The proposed method is able to realize many-tomany associations with no predefined conditions, and the association can be incrementally added to the network without destruction of old associations. Experiments show that the proposed AM works well for real tasks.