基于tcn -变压器混合模型的砂岩铀矿床地浸区浸出液pH与铀浓度关系研究

IF 1.6 3区 化学 Q3 CHEMISTRY, ANALYTICAL
Zhifeng Liu, Yongfei Lu, Zhenhua Wei, Yipeng Zhou, Lin Liu, Meili Zhao
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引用次数: 0

摘要

研究了砂岩型铀矿床地浸过程中pH值与渗滤液中铀浓度的耦合关系。为了解决传统cnn在梯度不稳定性方面的局限性和长期依赖建模的挑战,提出了一种混合TCN-Transformer架构。该模型具有可比较的参数数量和计算复杂度,对ph -铀动力学具有较高的预测精度。基准评估表明,与基于LSTM、RNN、CNN和GRU的方法相比,性能有了显著提高。结果为铀ISL的实时过程控制建立了一个高效的计算框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the relationship between pH and uranium concentration in leachate of sandstone uranium deposit in-situ leaching area based on TCN-transformer hybrid model

This study investigates the coupling between pH and uranium concentration in leachate during in-situ leaching (ISL) of sandstone-type uranium deposits. To address the limitations of conventional CNNs regarding gradient instability and the challenges of long-term dependency modeling, a hybrid TCN-Transformer architecture is proposed. With comparable parameter counts and computational complexity, the proposed model achieves superior predictive accuracy for pH-uranium dynamics. Benchmark evaluations demonstrate significant performance enhancements over LSTM, RNN, CNN and GRU based methods. The results establish a computationally efficient framework for real-time process control in uranium ISL.

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来源期刊
CiteScore
2.80
自引率
18.80%
发文量
504
审稿时长
2.2 months
期刊介绍: An international periodical publishing original papers, letters, review papers and short communications on nuclear chemistry. The subjects covered include: Nuclear chemistry, Radiochemistry, Radiation chemistry, Radiobiological chemistry, Environmental radiochemistry, Production and control of radioisotopes and labelled compounds, Nuclear power plant chemistry, Nuclear fuel chemistry, Radioanalytical chemistry, Radiation detection and measurement, Nuclear instrumentation and automation, etc.
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