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An Experimental Assessment of the Performance of Several Associative Memory Models
[chapter]
2001
Artificial Neural Nets and Genetic Algorithms
The performance characteristics of four different associative memory models are examined. The models differ in the training algorithm employed, although all four employ algorithms that are iterative, and use local information. They are classified using the method of Abbott [1], their attractor performance is examined, and the time taken to train them is measured.
doi:10.1007/978-3-7091-6230-9_16
fatcat:guplgn5kibhbxdvu63nvyh7wim