Application of artificial netal network to identify complicated gamma spectra

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Application of artificial netal network to identify complicated gamma spectra

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- Application of artificial netal network to identify complicated gamma spectra
- NUCLEAR TECHNIQUES Issue 8, (1996)
- 作者机构：
  
  清华大学
- 作者简介：
- 基金信息：
- DOI：
  CLC： O657.62
- Published：01 August 1996
- 稿件说明：
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[1]陈泽民,李明涛,徐四大,齐卉荃,梁伟.用人工神经网络识别复杂γ能谱[J].核技术,1996(08):449-454.

Application of artificial netal network to identify complicated gamma spectra[J]. Nuclear techniques, 1996, (8).
[1]陈泽民,李明涛,徐四大,齐卉荃,梁伟.用人工神经网络识别复杂γ能谱[J].核技术,1996(08):449-454. DOI：

Application of artificial netal network to identify complicated gamma spectra[J]. Nuclear techniques, 1996, (8). DOI：

摘要

用人工神经网络技术对在１４ＭｅＶ的快中子作用下爆炸物和日常有机物品产生的γ能谱进行识别，并对人工神经网络的基本原理与γ能谱识别的初步结果作了介绍．

Abstract

The technique of artificial neural network has been used to identify the gamma spectra of explosives and ordinary organic materials irradiated by 14MeV neutrons. In this article

features of the network are described

and the results of recognition of gamma spectra are given.

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