Importance

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Abstract

The present invention provides a system for learning from and responding to regularly arriving information at once by quickly combining prior information with concurrent trial information to produce useful learned information. A parallel embodiment of the system performs can perform updating operations for memory elements of matrix through the coordinated use of parallel feature processors and a joint access memory, which contains weighted values and provision for connecting feature processors pairwise. The parallel version also performs feature function monitoring, interpretation and refinement operations promptly and in concert with concurrent operation. A non-parallel embodiment of the system uses a single processor to perform the above operations however, more slowly than the parallel embodiment, yet faster than available alternatives.

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First Claim