A low cost distributed expert system delivery environment for monitoring and control application

Author(s)

Hendtlass, Tim; Goss, Simon

Available versions

Abstract

A distributed data collection system developed for use in cost sensitive situations is described. The system design constraints included reliability, low cost, high flexibility, and real time performance. The resulting system which evolved is a distributed expert system. Each node of the distributed system supports its own inference engine, scheduler and rule base with context sensitive switching between partitions and fact bases. Each node can support an artificial neural network (ANN).

Publication year

1993

Publication type

Conference paper

Source

1st New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems (ANNES 93), Dunedin, New Zealand, 24-26 November 2003, pp. 312-313

Publisher

IEEE

ISBN

9780818642609

Copyright

Copyright © 1993 IEEE. The published version is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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