An Experimental Assessment of the Performance of Several Associative Memory Models
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 , their attractor performance is examined, and the time taken to train them is measured.
KeywordsLocal Field Training Time Training Algorithm Training Pattern Attractor Performance
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