首页> 外文学位 >An RBF Neural Network Approach in Radionuclide Identification of Unknown Sources Utilizing γ-Ray Spectra

【24h】

An RBF Neural Network Approach in Radionuclide Identification of Unknown Sources Utilizing γ-Ray Spectra

机译：一种RBF神经网络方法在利用γ射线光谱的未知来源鉴定中的识别鉴定

获取原文

获取原文并翻译 | 示例

页面导航

著录项
相似文献
相关主题

著录项

作者
Lagari, Pola-Lydia.;
展开▼
作者单位

Purdue University.;

展开▼
授予单位 Purdue University.;
学科
学位 M.S.
年度 2017
页码 68 p.
总页数 68
原文格式 PDF
正文语种 eng
中图分类 AAI10683297;
关键词
Artificial neural networks; Classification; Gamma spectroscopy; Optimization; Radionuclide identification;

机译：人工神经网络;分类;伽马光谱;优化;放射性核素鉴定;

相似文献

外文文献
中文文献
专利

1. Identification of Unknown Groundwater Pollution Sources Using Artificial Neural Networks [J] . Raj Mohan Singh, Bithin Datta, Ashu Jain Journal of Water Resources Planning and Management . 2004,第6期

机译：利用人工神经网络识别未知的地下水污染源
2. Artificial neural network modeling for identification of unknown pollution sources in groundwater with partially missing concentration observation data [J] . Raj Mohan Singh, Bithin Datta Water Resources Management . 2007,第3期

机译：人工神经网络建模用于部分缺乏浓度观测数据的地下水未知污染源识别
3. Breakthrough Curves Characterization and Identification of an Unknown Pollution Source in Groundwater System Using an Artificial Neural Network (ANN) [J] . Divya Srivastava, Raj Mohan Singh Environmental forensics . 2014,第2期

机译：人工神经网络（ANN）对地下水系统中未知污染源的突破曲线进行表征和识别
4. Artificial Neural Networks Based Approach for Identification of Unknown Pollution Sources in Aquifers [C] . Maria Laura Foddis, Augusto Montisci International Conference on Computational Science and Its Applications . 2020

机译：基于人工神经网络的含水层识别未知污染源的方法
5. Online optimal control for a class of nonlinear system using RBF neural networks. [D] . Medagam, Peda Vasanta Reddy. 2008

机译：基于RBF神经网络的一类非线性系统的在线最优控制。
6. Utilization of Artificial Neural Network in Predicting the Total Organic Carbon in Devonian Shale Using the Conventional Well Logs and the Spectral Gamma Ray [O] . Osama Siddig, Ahmed Abdulhamid Mahmoud, Salaheldin Elkatatny, 2021

机译：使用常规井日志和光谱伽马射线预测人工神经网络预测德文郡页岩总有机碳
7. Application of artificial neural networks in hydrogeology: identification of unknown pollution sources in contaminated acquifers [O] . Foddis Maria Laura 2011

机译：人工神经网络在水文地质学中的应用：污染土壤中未知污染源的识别

An RBF Neural Network Approach in Radionuclide Identification of Unknown Sources Utilizing γ-Ray Spectra

著录项

相似文献

相关主题

期刊订阅