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Jeff Place on INPO’s strategy for industry growth
As executive vice president for industry strategy at the Institute of Nuclear Power Operations, Jeff Place leads INPO’s industry-facing work, engaging directly with chief nuclear officers.
ames L. Macdonald, Billy V. Koen
Nuclear Science and Engineering | Volume | Number | Pages 142-151
Technical Paper | doi.org/10.13182/NSE75-A26636
Articles are hosted by Taylor and Francis Online.
This paper investigates the application of two artificial intelligence techniques, heuristic programming and learning theory, to the problem of digital computer control of nuclear reactors. The purpose of using an artificial intelligence approach is to alleviate the requirement for a detailed mathematical model of the nuclear reactor system. A control system is developed ivhich demonstrates the primary features of such an approach. Results are shown for several reactor and control problem variations using a computer simulated reactor.