An associative memory knowledge base for diagnostic and high level control functions

The authors present a novel associative memory (AM) knowledge base for real-time diagnostics and high level control functions for complex large-scale dynamic systems. The architecture is an adaptive architecture based on the sparse distributed memory (ASDM). The authors also introduce the concept of time-varying intensity of memory, and allow generalized metrics for determining distance between two data objects. With the generalized metric concept, one can attach significance to the bit locations of the patterns; bits in a word are now weighted in significance by their respective locations. A neural expert system application of the ASDM is discussed