Computation of the distributed associative memory and numerical stability of the generalized inverse matrix

Summary form only given. A novel recursive algorithm to calculate the recursive generalized inverse (RGI) needed to learn some distributed associative memory is introduced. The authors show that this new RGI algorithm provides better numerical stability when compared with Greville's algorithm. The RGI has been applied successfully to fault-tolerant information retrieval tasks.<
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