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Abstract 2 Fuel Management in Nuclear Power Plants

By Ephraim Nissan, Hava Siegelmann and Alex Galperin


On top of FUELCON and NEL, two extant, successful projects in, respectively, expert systems for engineering, and neural networks, we have defined and designed a new phase, meant to greatly increase the significance, for AI, of the combined project with respect to the already recognized merits of the two seed-projects. The NEL symbolic-to-neural conversion schema and language is resorted to in NEU-RALIZER, a component meant to automatically revise a ruleset, iteration after iteration, within the operation cycle of FUELCON, a generator of families of configurations of fuel assemblies for reloading the core of nuclear reactors.

Year: 2014
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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