The FUELCON meta-architecture, II: Alternatives for parameter prediction

Alex Galperin, Ephraim Nissan

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We continue the discussion of the decision points in the FUELCON metaarchitecture. Having discussed the relation of the original expert system to its sequel projects in terms of an AND/OR tree, we consider one further domain for a neural component: parameter prediction downstream of the core reload candidate pattern generator, thus, a replacement for the NOXER simulator currently in use in the project.

Original languageEnglish
Pages (from-to)151-161
Number of pages11
JournalNew Review of Applied Expert Systems and Emerging Technologies
Volume4
StatePublished - 1 Dec 1998

ASJC Scopus subject areas

  • Management of Technology and Innovation

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