A uni-complex and bi-complex representation for associative memory with superior retrieval

摘要

A novel uni-complex valued trinary associative model, which is implementable in the optical domain, is proposed. Retrieval of the stored pattern is accomplished using an threshold formula in the inner product domain. An algorithm to determine adaptive threshold formula for this trinary associative memory model is presented. The optimal threshold is chosen to yield the best performance. Different threshold parameters have been investigated to obtain the range of optimal threshold parameters. In order to validate our performance model, character recognition problem with noisy and noise-free data are investigated. Moreover, a bi-complex representation model for associative memory retrieval is presented and compared to previous methods.