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Spectrometry analysis based on approximation coefficients and deep belief networks

【摘要】Amethodofspectrometryanalysisbasedonapproximationcoefficientsanddeepbeliefnetworkswasdeveloped.Detectionrateandaccurateradionuclideidentificationdistancewereusedtoevaluatetheperformanceoftheproposedmethodinidentifyingradionuclides.Experimentalresultsshowthatidentificationperformancewasnotaffectedbydetectiontime,numberofradionuclides,ordetectiondistancewhentheminimumdetectableactivityofasingleradionuclidewassatisfied.Moreover,theproposedmethodcouldaccuratelypredictisotopiccompositionsfromthespectraofmovingradionuclides.Thus,thedesignedmethodcanbeusedforradiationmonitoringinstrumentsthatidentifyradionuclides.

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162 共10页 核技术:英文版 2018年5期 免费 中文科技期刊数据库

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