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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

《机械工程前沿（英文）》 2021年 第16卷 第4期   页码 814-828 doi: 10.1007/s11465-021-0650-6

摘要： The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery. Deep neural networks have provided unprecedented opportunities to condition monitoring from a new perspective due to the powerful ability in learning fault-related knowledge. However, the inexplicability and low generalization ability of fault diagnosis models still bar them from the application. To address this issue, this paper explores a decision-tree-structured neural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings. The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision tree methods by rebuilding the output decision layer of CNN according to the hierarchical structural characteristics of the decision tree, which is by no means a simple combination of the two models. The proposed DCTN model has unique advantages in 1) the hierarchical structure that can support more accuracy and comprehensive fault diagnosis, 2) the better interpretability of the model output with hierarchical decision making, and 3) more powerful generalization capabilities for the samples across fault severities. The multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition aeronautical bearing test rig. Experimental results can fully demonstrate the feasibility and superiority of the proposed method.

关键词： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decision tree    

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

《结构与土木工程前沿（英文）》 2020年 第14卷 第6期   页码 1403-1417 doi: 10.1007/s11709-020-0666-8

摘要： Research on the quality of data in a structural calculation document (SCD) is lacking, although the SCD of a bridge is used as an essential reference during the entire lifecycle of the facility. XML Schema matching enables qualitative improvement of the stored data. This study aimed to enhance the applicability of XML Schema matching, which improves the speed and quality of information stored in bridge SCDs. First, the authors proposed a method of reducing the computing time for the schema matching of bridge SCDs. The computing speed of schema matching was increased by 13 to 1800 times by reducing the checking process of the correlations. Second, the authors developed a heuristic solution for selecting the optimal weight factors used in the matching process to maintain a high accuracy by introducing a decision tree. The decision tree model was built using the content elements stored in the SCD, design companies, bridge types, and weight factors as input variables, and the matching accuracy as the target variable. The inverse-calculation method was applied to extract the weight factors from the decision tree model for high-accuracy schema matching results.

关键词： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decision tree model    

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决策树技术在电缆绝缘状态评估中的应用

孙秋野,张化光,张铁岩

《中国工程科学》 2010年 第12卷 第2期   页码 90-94

摘要：

电缆的绝缘状态通常可以分为良好、不好、差和故障等几种，以电缆的日常检修数据、试验数据和在线监测数据为基础，对电缆的状态进行判断是一个非常有意义的课题。采用决策树分类技术来对电缆的绝缘状态进行分类，分别对各种类型数据形成子树，然后通过子树合成技术形成最终的决策树，从而对电缆的绝缘状态进行判断。通过一个实际电缆的各种数据，采用SPSS软件进行实际应用，最终的仿真结果说明决策树技术是一种非常有效的电缆绝缘状态分类技术。

关键词： 决策树     分类     数据挖掘     电缆绝缘    

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Four-protein model for predicting prognostic risk of lung cancer

《医学前沿（英文）》 2022年 第16卷 第4期   页码 618-626 doi: 10.1007/s11684-021-0867-0

摘要： Patients with lung cancer at the same stage may have markedly different overall outcome and a lack of specific biomarker to predict lung cancer outcome. Heat-shock protein 90 β (HSP90β) is overexpressed in various tumor cells. In this study, the ELISA results of HSP90β combined with CEA, CA125, and CYFRA21-1 were used to construct a recursive partitioning decision tree model to establish a four-protein diagnostic model and predict the survival of patients with lung cancer. Survival analysis showed that the recursive partitioning decision tree could distinguish the prognosis between high- and low-risk groups. Results suggested that the joint detection of HSP90β, CEA, CA125, and CYFRA21-1 in the peripheral blood of patients with lung cancer is plausible for early diagnosis and prognosis prediction of lung cancer.

关键词： lung cancer     HSP90β     decision tree model     prognosis    

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Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

《结构与土木工程前沿（英文）》 2023年 第17卷 第2期   页码 284-305 doi: 10.1007/s11709-022-0901-6

摘要： Fiber-reinforced self-compacting concrete (FRSCC) is a typical construction material, and its compressive strength (CS) is a critical mechanical property that must be adequately determined. In the machine learning (ML) approach to estimating the CS of FRSCC, the current research gaps include the limitations of samples in databases, the applicability constraints of models owing to limited mixture components, and the possibility of applying recently proposed models. This study developed different ML models for predicting the CS of FRSCC to address these limitations. Artificial neural network, random forest, and categorical gradient boosting (CatBoost) models were optimized to derive the best predictive model with the aid of a 10-fold cross-validation technique. A database of 381 samples was created, representing the most significant FRSCC dataset compared with previous studies, and it was used for model development. The findings indicated that CatBoost outperformed the other two models with excellent predictive abilities (root mean square error of 2.639 MPa, mean absolute error of 1.669 MPa, and coefficient of determination of 0.986 for the test dataset). Finally, a sensitivity analysis using a partial dependence plot was conducted to obtain a thorough understanding of the effect of each input variable on the predicted CS of FRSCC. The results showed that the cement content, testing age, and superplasticizer content are the most critical factors affecting the CS.

关键词： compressive strength     self-compacting concrete     artificial neural network     decision tree     CatBoost    

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Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

《信息与电子工程前沿（英文）》 2015年 第16卷 第2期   页码 98-108 doi: 10.1631/FITEE.1400165

摘要： We present a study to show the possibility of using two well-known space partitioning and indexing techniques, kd trees and quad trees, in declustering applications to increase input/output (I/O) parallelization and reduce spatial data processing times. This parallelization enables time-consuming computational geometry algorithms to be applied efficiently to big spatial data rendering and querying. The key challenge is how to balance the spatial processing load across a large number of worker nodes, given significant performance heterogeneity in nodes and processing skews in the workload.

关键词： Kd tree     Quad tree     Space partitioning     Spatial indexing     Range queries     Query optimization    

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面向多类不平衡学习的一对多海林格距离决策树研究 Research Articles

董明刚1,2,刘明1,2,敬超1,2,3

《信息与电子工程前沿（英文）》 2022年 第23卷 第2期   页码 278-290 doi: 10.1631/FITEE.2000417

摘要： 由于传统机器学习方法对偏斜分布很敏感，且未考虑多类不平衡问题的特点，多类偏斜分布对机器学习算法来说是一个巨大挑战。为解决这一问题，提出一种新的基于一对多的海林格距离（OAHD）决策树分割准则。OAHD主要由两部分组成。首先，将一对多思想集成到OAHD的海林格距离计算过程中，从而对海林格距离决策树进行扩展，使其能解决多类不平衡问题。其次，针对多类不平衡问题，考虑了不同类的分布和数量，设计了改进的基尼系数。此外，对OAHD的性质进行理论证明，包括偏斜不敏感性和在决策树中寻找更纯节点的能力。最后，从基于进化学习的知识抽取（KEEL）和加州大学欧文分校（UCI）数据库中收集20个公开的真实不平衡数据集进行实验。实验结果表明，与其他5种常用决策树相比，OAHD在精度、F值，和多类别接收者操作特征曲线下面积（MAUC）上有显著优势。此外，使用了Friedman和Nemenyi检验，统计结果表明OAHD优于其他5种决策树。

关键词： 决策树；多类不平衡学习；节点划分准则；海林格距离；一对多技术    

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中国油用牡丹工程的战略思考

李育材

《中国工程科学》 2014年 第16卷 第10期   页码 58-63

摘要：

作为一种原产于我国的多年生小灌木，油用牡丹具有抗性强、适应范围广、产量高和油质好等特点。大力发展油用牡丹对促进我国油料生产、保障粮油安全、改善生态环境、增加农民收入、帮助贫困地区农民脱贫致富等都具有十分重要的意义。本文介绍了发展油用牡丹的重要意义，并通过分析油用牡丹发展中现存的问题，提出了对我国油用牡丹工程发展的建议与思考。

关键词： 油用牡丹     木本油料     工程     战略思考    

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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

《环境科学与工程前沿（英文）》 2023年 第17卷 第6期 doi: 10.1007/s11783-023-1667-3

摘要：

● Hybrid deep-learning model is proposed for water quality prediction.

关键词： Water quality prediction     Soft-sensor     Anaerobic process     Tree-structured Parzen Estimator    

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An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

《结构与土木工程前沿（英文）》 2021年 第15卷 第1期   页码 194-212 doi: 10.1007/s11709-020-0688-2

摘要： In this study, we carried out nonlinear finite element simulations to predict the performance of a column-tree moment connection (CTMC) under fire and static loads. We also conducted a detailed parameter study based on five input variables, including the applied temperature, number of flange bolts, number of web bolts, length of the beam, and applied static loads. The first variable is changed among seven levels, whereas the other variables are changed among three levels. Employing the Taguchi method for variables 2–5 and their levels, 9 samples were designed for the parameter study, where each sample was exposed to 7 different temperatures yielding 63 outputs. The related variables for each output are imported for the training and testing of different surrogate models. These surrogate models include a multiple linear regression (MLR), multiple Ln equation regression (MLnER), an adaptive network-based fuzzy inference system (ANFIS), and gene expression programming (GEP). 44 samples were used for training randomly while the remaining samples were employed for testing. We show that GEP outperforms MLR, MLnER, and ANFIS. The results indicate that the rotation and deflection of the CTMC depend on the temperature. In addition, the fire resistance increases with a decrease in the beam length; thus, a shorter beam can increase the fire resistance of the building. The numbers of flanges and web bolts slightly affect the rotation and displacement of the CTMCs at temperatures of above 400°C.

关键词： column-tree moment connection     Finite element model     parametric study     fire     regression models     gene expression programming    

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Salt-assisted synthesis of tree-like oriented SnO

Jinquan SUN, Zifeng YAN, Hongzhi CUI

《化学科学与工程前沿（英文）》 2011年 第5卷 第2期   页码 227-230 doi: 10.1007/s11705-010-0566-x

摘要： Tree-like SnO nanodendrites in large amounts have been prepared through two-step reactions. The nanoparticles used as the precursors have taken aggregation forming tree-like or string of nanodendrtie. The samples were characterized by X-ray diffraction (XRD), transmission electron microscopy (TEM), high-resolution transmission electron microscopy (HRTEM) and energy dispersive spectrometer (EDS), respectively. The results showed that molar ratio of the ethanol/distilled water is an important factor for formation of the different dendrite structures. There are different morphologies between tree-like SnO nanowhiskers and bunch of SnO nanorods. However, they are growing along the .

关键词： crystal morphology     nano-structures     nanodendrite    

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The secondary laticifer differentiation in rubber tree is induced by trichostatin A, an inhibitor of

Shixin ZHANG,Shaohua WU,Weimin TIAN

《农业科学与工程前沿（英文）》 2016年 第3卷 第4期   页码 357-362 doi: 10.15302/J-FASE-2016125

摘要： The secondary laticifer, a specific tissue in the secondary phloem of rubber tree, is differentiated from the vascular cambia. The number of the secondary laticifer in the trunk bark of rubber tree is positively correlated with rubber yield. Although jasmonates have been demonstrated to be crucial in the regulation of secondary laticifer differentiation, the mechanism for the jasmonate-induced secondary laticifer differentiation remains to be elucidated. By using an experimental morphological technique, the present study revealed that trichostatin A (TSA), an inhibitor of histone deacetylation, could induce the secondary laticifer differentiation in a concentration-dependent manner. The results suggest that histone acetylation is essential for the secondary laticifer differentiation in rubber tree.

关键词： Hevea brasiliensis     histone acetylation     laticifer differentiation     trichostatin     vascular cambia    

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variations in leaf capturing of particulate matter, surface wettability and micromorphology in urban tree

Huixia WANG, Hui SHI, Yangyang LI, Ya YU, Jun ZHANG

《环境科学与工程前沿（英文）》 2013年 第7卷 第4期   页码 579-588 doi: 10.1007/s11783-013-0524-1

摘要： The seasonal changes in leaf particulate matter (PM) accumulation, surface wettability and micromorphology in urban tree species, including ( . ), ( . ) and ( . ), were studied during a single growing season. The three species showed distinct seasonal trends in PM accumulation, increasing from spring to autumn (or winter) even during the rainy season, but at different rates. During the study, the leaf PM retention amount of , a species with ridged leaf surfaces, was significantly higher than that of and , species with waxy leaf surfaces. The contact angles of water droplets on leaves decreased with leaf age except on the abaxial surface of , which remained non-wettable or highly non-wettable throughout the growing season; the decrease in the contact angle on adaxial surface of was greater when compared with and . A significant and negative relationship existed between leaf PM retention amounts and contact angles on adaxial surface of leaves of all three species. The increase in wettability, probably caused when epicuticular wax was destroyed by mechanical and chemical abrasion, seemed to be the main factor leading to seasonal variations in leaf PM accumulation.

关键词： contact angle     particulate matter     retention amount    

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融合目标语言端语义角色的串到树翻译模型 Article

Chao SU, Yu-hang GUO, He-yan HUANG, Shu-min SHI, Chong FENG

《信息与电子工程前沿（英文）》 2017年 第18卷 第10期   页码 1534-1542 doi: 10.1631/FITEE.1601349

摘要： 串到树模型是统计机器翻译中最为成功的基于句法的模型之一。它通过对目标语言端句法信息进行建模，使得机器输出的译文更符合语法。然而，它并未利用任何语义信息，产生的译文仍然包含语义角色混淆和语块顺序混乱等错误。提出两种方式，利用语义角色提高串到树模型性能：（1）在句法树上添加语义角色标签；（2）先将语义角色转换成树结构，再引入句法信息。将上述两种新的树结构用于串到树机器翻译模型训练，使得系统能够利用语义信息学习或选择更好的翻译规则。实验表明，在口语和新闻两种语料上，我们的方法都超越了传统串到树翻译系统；在大规模新闻语料上，我们的方法超越了基于短语的机器翻译系统。

关键词： 机器翻译；语义角色；句法树；串到树模型    

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Convergence to real-time decision making

James M. TIEN

《工程管理前沿（英文）》 2020年 第7卷 第2期   页码 204-222 doi: 10.1007/s42524-019-0040-5

摘要： Real-time decision making reflects the convergence of several digital technologies, including those concerned with the promulgation of artificial intelligence and other advanced technologies that underpin real-time actions. More specifically, real-time decision making can be depicted in terms of three converging dimensions: Internet of Things, decision making, and real-time. The Internet of Things include tangible goods, intangible services, ServGoods, and connected ServGoods. Decision making includes model-based analytics (since before 1990), information-based Big Data (since 1990), and training-based artificial intelligence (since 2000), and it is bolstered by the evolving real-time technologies of sensing (i.e., capturing streaming data), processing (i.e., applying real-time analytics), reacting (i.e., making decisions in real-time), and learning (i.e., employing deep neural networks). Real-time includes mobile networks, autonomous vehicles, and artificial general intelligence. Central to decision making, especially real-time decision making, is the ServGood concept, which the author introduced in an earlier paper (2012). It is a physical product or good encased by a services layer that renders the good more adaptable and smarter for a specific purpose or use. Addition of another communication sensors layer could further enhance its smartness and adaptiveness. Such connected ServGoods constitute a solid foundation for the advanced products of tomorrow which can further display their growing intelligence through real-time decisions.

关键词： real-time decision making     services     goods     ServGoods     Big Data     Internet of Things     artificial intelligence     wireless communications    

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标题 作者 时间 类型 操作

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

期刊论文

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

期刊论文

决策树技术在电缆绝缘状态评估中的应用

孙秋野,张化光,张铁岩

期刊论文

Four-protein model for predicting prognostic risk of lung cancer

期刊论文

Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

期刊论文

Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

期刊论文

面向多类不平衡学习的一对多海林格距离决策树研究

董明刚1,2,刘明1,2,敬超1,2,3

期刊论文

中国油用牡丹工程的战略思考

李育材

期刊论文

Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

期刊论文

An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

期刊论文

Salt-assisted synthesis of tree-like oriented SnO

Jinquan SUN, Zifeng YAN, Hongzhi CUI

期刊论文

The secondary laticifer differentiation in rubber tree is induced by trichostatin A, an inhibitor of

Shixin ZHANG,Shaohua WU,Weimin TIAN

期刊论文

variations in leaf capturing of particulate matter, surface wettability and micromorphology in urban tree

Huixia WANG, Hui SHI, Yangyang LI, Ya YU, Jun ZHANG

期刊论文

融合目标语言端语义角色的串到树翻译模型

Chao SU, Yu-hang GUO, He-yan HUANG, Shu-min SHI, Chong FENG

期刊论文

Convergence to real-time decision making

James M. TIEN

期刊论文