基于袋式随机配置网络的频谱数据分析

IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Infrared Physics & Technology Pub Date : 2024-10-25 DOI:10.1016/j.infrared.2024.105609
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引用次数: 0

摘要

虽然随机配置网络(SCN)具有普遍的逼近特性和较快的学习速度,但在构建模型的过程中,权重和偏置分配的随机性以及模型结构的不确定性会导致模型的不稳定性。为了解决单一模型的局限性,本文受袋装模型的启发,提出了一种名为袋装 SCN 的集合模型。首先,通过引导抽样提取多个不同的训练子集。然后在每个子集中训练 SCN 子模型。最后,将这些子模型输出的中值作为最终预测结果。在两个公共数据集上测试了袋装 SCN 预测结果。然后,将袋装 SCN 的性能与其他技术(包括 SCN、袋装 SCN 和其他聚合规则)进行了比较。实验结果表明,本研究提出的袋集 SCN 具有良好的稳定性和较高的预测准确性,因此适用于光谱数据的定量分析。
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Spectral data analysis based on bagging stochastic configuration networks
Although stochastic configuration networks(SCN) has the universal approximation property and faster learning speed,during the process of model construction,the randomness of weight and biases assignment as well as the uncertainty of model structure lead to instability. Inspired by bagging,an ensemble model named bagging SCN is proposed to address the limitation of the single model. Firstly,multiple different training subsets are extracted by bootstrap sampling. Then the SCN submodels are trained on each subset. Finally,the median output of these submodels is taken as the final prediction. Predictions made by bagging SCN are tested on two public datasets. The performance of bagging SCN is then compared with other techniques,including SCN,bagging SCN with other aggregating rules. Experimental results demonstrate that bagging SCN proposed in this study exhibits good stability and high prediction accuracy,making it suitable for quantitative analysis of spectral data.
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来源期刊
CiteScore
5.70
自引率
12.10%
发文量
400
审稿时长
67 days
期刊介绍: The Journal covers the entire field of infrared physics and technology: theory, experiment, application, devices and instrumentation. Infrared'' is defined as covering the near, mid and far infrared (terahertz) regions from 0.75um (750nm) to 1mm (300GHz.) Submissions in the 300GHz to 100GHz region may be accepted at the editors discretion if their content is relevant to shorter wavelengths. Submissions must be primarily concerned with and directly relevant to this spectral region. Its core topics can be summarized as the generation, propagation and detection, of infrared radiation; the associated optics, materials and devices; and its use in all fields of science, industry, engineering and medicine. Infrared techniques occur in many different fields, notably spectroscopy and interferometry; material characterization and processing; atmospheric physics, astronomy and space research. Scientific aspects include lasers, quantum optics, quantum electronics, image processing and semiconductor physics. Some important applications are medical diagnostics and treatment, industrial inspection and environmental monitoring.
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