Neural network for performing beta-token partitioning in a RETE

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395 64, 395 11, G06F 1518

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051290375

ABSTRACT:
A method and system for beta-token partitioning a target expert system program. The target expert system program is first compiled to form a RETE network for execution on a single processor, the compilation including directives for collecting selected processing statistics. The target expert system program is then executed on a single processor, generating during execution processing statistics in connection with each node of the RETE network. The processing statistics are then applied to a programmed neural network to identify nodes in the RETE network for beta-token partitioning, and the target expert system program is then recompiled to form a RETE network for execution on multiple processors, the RETE network being beta-token partitioned at nodes identified by the neural network.

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