| H. H. Chen et al., "Higher Order Correlation Model for Associative Memory," Neural Networks for Computing , pp.86-99, 1986. |
....2.3. 3 Higher order correlations in recurrent nets The use of polynomial threshold elements of degree d (d 2) has been considered in the context of Hopfield type networks [44] An extension of the outer product storage rule to incorporate higher order correlations has also been proposed [35]. These studies pertain to fully connected recurrent networks and are mainly concerned with increasing storage capacity when such nets are used as associative memories. Thus they are fundamentally different from PSNs in structure and purpose, and are not considered any further. 3 Learning ....
H. H. Chen et al., "Higher Order Correlation Model for Associative Memory," Neural Networks for Computing , pp.86-99, 1986.
No context found.
H. H. Chen et al., Higher Order Correlation Model for Associative Memory, American Institute of Physics Conference Proceedings, no. 151: Neural Networks for Computing, pp. 398-403, Snowbird, Utah, 1986.
No context found.
H. H. Chen et al., Higher Order Correlation Model for Associative Memory, American Institute of Physics Conference Proceedings, no. 151: Neural Networks for Computing, pp. 398-403, Snowbird, Utah, 1986.
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