Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements
IEEE Transactions on Computers
Application of an associatively addressed, distributed memory
AFIPS '64 (Spring) Proceedings of the April 21-23, 1964, spring joint computer conference
IEEE Transactions on Computers
Representation of Associated Data by Matrix Operators
IEEE Transactions on Computers
Modeling distributed concept representation in Hopfield neural networks
Mathematical and Computer Modelling: An International Journal
Hi-index | 14.98 |
It is shown that an analog associative memory with optimal selectivity can be formed in adaptive processes which use learning algorithms related to the gradient method. The information is distributed throughout the memory by a matrix transform.