Multimodule Neural Network for Associative Memory
Tomoharu Ohsumi, Masahiro Kajiura, Yuichiro Anzai · Transactions of the Institute of Electronics, Information and Communication Engineers · 1992
This paper proposes a multimodule neural network for complex pattern association. In the associative memory discussed in this paper, it is assumed that the memorized pattern can be divided into a certain number of attributes. An associative module is allocated to each of the divided attributes. The network is constructed by connecting those modules. Then, the relations among the attributes are memorized in the connections among the modules, as the mutual relations among the modules. By this structure, an association function is realieed, in which given a partial information concerning some of the attributes, all information related to the input can be retrieved by tracing the relations among the attributes