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学者姓名:张涛
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Abstract :
“让学引思”提升体育课堂实效
Keyword :
体育 体育 引领学生 引领学生 思想者 思想者 课堂实效 课堂实效 让学引思 让学引思 思维状态 思维状态 新课程标准 新课程标准 素质教育 素质教育
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GB/T 7714 | 张涛 , 北京教育:普教版 . “让学引思”提升体育课堂实效 [J]. | 张涛 , 2021 , (4) : 82-83 . |
MLA | 张涛 等. "“让学引思”提升体育课堂实效" . | 张涛 4 (2021) : 82-83 . |
APA | 张涛 , 北京教育:普教版 . “让学引思”提升体育课堂实效 . | 张涛 , 2021 , (4) , 82-83 . |
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Abstract :
基于CLPSO-CatBoost的贷款风险预测方法
Keyword :
特征选择 特征选择 综合学习粒子群 综合学习粒子群 贷款风险 贷款风险 CatBoost CatBoost
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GB/T 7714 | 张涛 , 范博 , 计算机系统应用 . 基于CLPSO-CatBoost的贷款风险预测方法 [J]. | 张涛 , 2021 , 30 (4) : 222-226 . |
MLA | 张涛 等. "基于CLPSO-CatBoost的贷款风险预测方法" . | 张涛 30 . 4 (2021) : 222-226 . |
APA | 张涛 , 范博 , 计算机系统应用 . 基于CLPSO-CatBoost的贷款风险预测方法 . | 张涛 , 2021 , 30 (4) , 222-226 . |
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Abstract :
Various deterministic and uncertain factors are widely present in mechanical equipment and their working conditions. Attenuation of the contact stiffness of bolted joints caused by bolt loosening will directly affect the dynamic characteristics of the joint surface and the working state of the equipment. This paper proposes a contact stiffness attenuation model that considers time-varying uncertainty of the bolt pre-tightening force as a theoretical basis for designing the initial bolt pre-tightening force and secondary tightening strategies. First, the microscopic contact mechanism of the bolted joint surface was revealed, and then a joint contact load and contact stiffness model based on Hertz contact theory and fractal theory was established. A nonlinear mechanical model of the bolted contact surface was obtained. Considering the decrease in bolt pre-tightening force during service, a contact stiffness attenuation law for bolted joints is explored, and a model of the connection reliability of group bolt joints with time-varying uncertainty is established. The bolt pre-tightening force of a railway locomotive was taken as an example and the connection reliability of group bolt structures was predicted, and it is defined that the bolted structure fails when the contact stiffness drops to 80% of the initial value, and the reliability of the group bolts will drop sharply on the 15th day after service, and will almost completely fail on the 22nd day. The proposed theory improves the accuracy of contact modeling and provides a new direction for bolt tightening strategies.
Keyword :
Stiffness attenuation Stiffness attenuation Bolted joint surface Bolted joint surface Reliability prediction Reliability prediction Time-varying uncertainty Time-varying uncertainty
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GB/T 7714 | Nana, Niu , Zhao Yongsheng , Yang Congbin et al. Contact stiffness attenuation model of bolted joint based on time-varying uncertainty [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2021 , 124 (11-12) : 3847-3856 . |
MLA | Nana, Niu et al. "Contact stiffness attenuation model of bolted joint based on time-varying uncertainty" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 124 . 11-12 (2021) : 3847-3856 . |
APA | Nana, Niu , Zhao Yongsheng , Yang Congbin , Wu Hongchao , Ying, Li , Tao, Zhang . Contact stiffness attenuation model of bolted joint based on time-varying uncertainty . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2021 , 124 (11-12) , 3847-3856 . |
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Abstract :
Automatic and early drilling risks detection is a significant issue of drilling cost reduction and drilling efficiency improvement. In this paper, considering the inherent nature of drilling process data, a novel drilling risks monitoring method which can automatically detect drilling risks in real time was developed. The newly proposed method integrated wellbore hydraulics model and streaming-data-driven model parameter inversion algorithm to realize drilling risks detection. Through the in-depth analysis of several drilling risks’ common response characteristics, two drilling risk indicators, i.e. the pressure-loss factor and the flow-rate factor, were defined firstly. Then the drilling risks monitoring model was established to model the pressure and the flow rate responses. In the model, the pressure-loss factor and the flow-rate factor were model parameters which need to be inversed using streaming-data. Finally, streaming-data-driven model parameter inversion algorithm was adopted to estimate the pressure-loss factor and the flow-rate factor in order to detect drilling risks in real time. Besides that, the validity and reliability of the method were verified by experiments. Laboratory experiments conducted on a small-scale test facility and drilling field experiments conducted in a real well had proved the good performance of this newly proposed drilling risks monitoring method. © 2020 Elsevier B.V.
Keyword :
Monitoring Monitoring Cost reduction Cost reduction Parameter estimation Parameter estimation Risk assessment Risk assessment Boreholes Boreholes Oil field equipment Oil field equipment Hydraulics Hydraulics Infill drilling Infill drilling Risk perception Risk perception Flow rate Flow rate
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GB/T 7714 | Jiang, Hailong , Liu, Gonghui , Li, Jun et al. A realtime drilling risks monitoring method integrating wellbore hydraulics model and streaming-data-driven model parameter inversion algorithm [J]. | Journal of Natural Gas Science and Engineering , 2021 , 85 . |
MLA | Jiang, Hailong et al. "A realtime drilling risks monitoring method integrating wellbore hydraulics model and streaming-data-driven model parameter inversion algorithm" . | Journal of Natural Gas Science and Engineering 85 (2021) . |
APA | Jiang, Hailong , Liu, Gonghui , Li, Jun , Zhang, Tao , Wang, Chao . A realtime drilling risks monitoring method integrating wellbore hydraulics model and streaming-data-driven model parameter inversion algorithm . | Journal of Natural Gas Science and Engineering , 2021 , 85 . |
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Abstract :
Harmonic drive (HD) is one of the core components of the robot joint. Studies show that tooth shape design and meshing characteristics of the HD directly affect the motion control accuracy and vibration characteristics of the robot. In the present study, common coordinate systems are established for three tooth profiles to analyze the differences between them. To this end, expressions for the double circular arc common-tangent tooth profile (DCTP), cycloid common tangent tooth profile (CCTP), and the involute tooth profile (ITP) are established in the same coordinate system. By applying the envelope conjugate theory, the conjugate existent domain (CED) and conjugate tooth profile (CTP) of the HD transmission are solved independently for each profile. Furthermore, the influences of tooth profile parameters on both the CTP and CED are analyzed. Obtained results show that both the DCTP and CCTP have more robust envelope processes when compared with the ITP. Moreover, it is found that both profiles can achieve the second conjugate and two-point conjugate engagement through applying variations in the tooth shape design parameters. It is concluded that meshing performances of the DCTP and CCTP are better than that of the ITP, providing guidelines for the future development of the harmonic reducer tooth shape design.
Keyword :
Conjugate existent domain Conjugate existent domain Harmonic drive Harmonic drive Conjugate tooth profile Conjugate tooth profile
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GB/T 7714 | Yang, Congbin , Ma, Honglie , Zhang, Tao et al. Research on Meshing Characteristics of Strain Wave Gearing with Three Different Types of Tooth Profiles [J]. | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING , 2021 , 22 (10) : 1761-1775 . |
MLA | Yang, Congbin et al. "Research on Meshing Characteristics of Strain Wave Gearing with Three Different Types of Tooth Profiles" . | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING 22 . 10 (2021) : 1761-1775 . |
APA | Yang, Congbin , Ma, Honglie , Zhang, Tao , Liu, Zhifeng , Zhao, Yongsheng , Hu, Qiushi . Research on Meshing Characteristics of Strain Wave Gearing with Three Different Types of Tooth Profiles . | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING , 2021 , 22 (10) , 1761-1775 . |
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Abstract :
A novel detection method and targets signal extraction algorithm for parallel steel pipeline localization and defects recognition based on harmonic magnetic field are proposed. An orthogonal vector differential focusing array detector was designed, which radiates high-frequency (HF) and ultra-low-frequency (ULF) electromagnetic waves to pipeline based on the principle of Frequency Modulated Continuous Wave (FMCW), and records the signals in parallel using high-sensitivity Tunnel Magneto Resistance (TMR) array sensors. The joint signal preprocessing algorithm of Combination Morphological Pulse Elimination (CMPE) and Quantum Genetic Gaussian Potential Stochastic Resonance (QGGPSR) is proposed to improve signal quality by adaptively eliminating random pulse and noise. The time-frequency analysis algorithm Complementary Ensemble Local Mean Decomposition (CELMD) is used to decompose the pipeline defects signal in detail, and the appropriate components are selected and fused into a correlation array signal cluster. Finally, the targets signal are separated by Limited-memory BFGS Independent Component Analysis (L-BFGS-ICA) based on machine learning optimization to enhance their legibility. The magnetic dipole harmonic simulation model and the 20# steel parallel pipeline experimental platform are established, and compared with the passive detection method to verify the effectiveness and practicality of the proposed method. The results show that this method can accurately locate parallel pipelines and detect different kinds of defects in noisy environment, which is of great significance for the application of non-contact Non-Destructive Testing (NDT) in practical engineering.
Keyword :
Defects recognition Defects recognition Targets extraction algorithm Targets extraction algorithm Parallel pipeline localization Parallel pipeline localization Harmonic magnetic field Harmonic magnetic field
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GB/T 7714 | Zhao, Yizhen , Wang, Xinhua , Sun, Tao et al. Non-contact harmonic magnetic field detection for parallel steel pipeline localization and defects recognition [J]. | MEASUREMENT , 2021 , 180 . |
MLA | Zhao, Yizhen et al. "Non-contact harmonic magnetic field detection for parallel steel pipeline localization and defects recognition" . | MEASUREMENT 180 (2021) . |
APA | Zhao, Yizhen , Wang, Xinhua , Sun, Tao , Chen, Yingchun , Yang, Lin , Zhang, Tao et al. Non-contact harmonic magnetic field detection for parallel steel pipeline localization and defects recognition . | MEASUREMENT , 2021 , 180 . |
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Abstract :
Flexible job shop scheduling is one of the most effective methods for solving multiple varieties and small batch production problems in discrete manufacturing enterprises. However, limitations of actual transportation conditions in the flexible job shop scheduling problem (FJSP) are neglected, which limits its application in actual production. In this paper, the constraint influence imposed by finite transportation conditions in the FJSP is addressed. The coupling relationship between transportation and processing stages is analyzed, and a finite transportation conditions model is established. Then, a three-layer encoding with redundancy and decoding with correction is designed to improve the genetic algorithm and solve the FJSP model. Furthermore, an entityJavaScript Object Notation (JSON) method is proposed for transmission between scheduling services and Digital Twin (DT) virtual equipment to apply the scheduling results to the DT system. The results confirm that the proposed finite transportation conditions have a significant impact on scheduling under different scales of scheduling problems and transportation times.
Keyword :
Flexible job shop scheduling Flexible job shop scheduling Genetic algorithm Genetic algorithm Finite transportation condition Finite transportation condition Digital Twin Digital Twin Transportation time Transportation time
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GB/T 7714 | Yan, Jun , Liu, Zhifeng , Zhang, Caixia et al. Research on flexible job shop scheduling under finite transportation conditions for digital twin workshop [J]. | ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING , 2021 , 72 . |
MLA | Yan, Jun et al. "Research on flexible job shop scheduling under finite transportation conditions for digital twin workshop" . | ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 72 (2021) . |
APA | Yan, Jun , Liu, Zhifeng , Zhang, Caixia , Zhang, Tao , Zhang, Yueze , Yang, Congbin . Research on flexible job shop scheduling under finite transportation conditions for digital twin workshop . | ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING , 2021 , 72 . |
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Abstract :
The research of this topic is based on financial risk control, and Sunshine Jinke's risk prevention and control is taken as a specific research case. The data set uses user consumption data used by Sunshine Jinke. The data source is a bank's customer consumer loan records in the past five years. The feature fields are extracted according to the degree of correlation between the data and the repayment rate, and combined with the convolutional neural network and the recurrent neural network, these feature fields are processed for the differentiation of credit data and fraud data, and finally matched with user information and scored, matching The process uses the singular matrix factorization idea. Through experimental papers, this idea has good stability and accuracy in the field of risk control forecasting. © 2021 IEEE.
Keyword :
Factorization Factorization Recurrent neural networks Recurrent neural networks Convolutional neural networks Convolutional neural networks
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GB/T 7714 | Zhang, Tao , Du, Yang . Research on user Credit score Model based on Fusion Neural network [C] . 2021 : 1391-1395 . |
MLA | Zhang, Tao et al. "Research on user Credit score Model based on Fusion Neural network" . (2021) : 1391-1395 . |
APA | Zhang, Tao , Du, Yang . Research on user Credit score Model based on Fusion Neural network . (2021) : 1391-1395 . |
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Abstract :
With the development of Internet finance, the importance of loan risk control is increasingly manifested. Risk control is the core part of traditional financial industry and Internet finance. After investigating the latest developments in credit risk control algorithms, an improved stacking integrated learning algorithm is proposed. By improving the feature selection steps, and using 5 different learners for stacking integration, the performance of the model is improved. The basic learners used include: Logistic Regression, Random Forest, GBDT, XGBoost, LightGBM, among which there are both strong learners and weak learners. Compared with traditional integrated learning methods, the accuracy of strong learners can be fully utilized, and use weak learners to reduce overfitting. Finally, the accuracy and generalization performance of the model are improved. © 2021 IEEE.
Keyword :
Decision trees Decision trees Learning algorithms Learning algorithms Risk assessment Risk assessment Logistic regression Logistic regression Finance Finance Learning systems Learning systems Power electronics Power electronics
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GB/T 7714 | Zhang, Tao , Li, Jiaheng . Credit Risk Control Algorithm Based on Stacking Ensemble Learning [C] . 2021 : 668-670 . |
MLA | Zhang, Tao et al. "Credit Risk Control Algorithm Based on Stacking Ensemble Learning" . (2021) : 668-670 . |
APA | Zhang, Tao , Li, Jiaheng . Credit Risk Control Algorithm Based on Stacking Ensemble Learning . (2021) : 668-670 . |
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Abstract :
贷款风险分析是全球金融机构面临的共同考验.在大数据背景下,通过机器学习算法预防贷款风险具有现实意义.针对贷款数据不平衡、噪声大等特点,本文采用Boruta特征选择算法对贷款数据进行重要性筛选;提出通过综合学习粒子群算法(Comprehensive Learning Particle Swarm Optimization,CLPSO)优化CatBoost集成学习算法(CLPSO-CatBoost)的贷款风险预测方法,该算法改善了全局搜索能力、避免了陷入容易陷入局部最优的问题.CLPSO-CatBoost相较于传统信用评估模型具有更好的准确性,有实际应用价值.
Keyword :
贷款风险 贷款风险 特征选择 特征选择 CatBoost CatBoost 综合学习粒子群 综合学习粒子群
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GB/T 7714 | 张涛 , 范博 . 基于CLPSO-CatBoost的贷款风险预测方法 [J]. | 计算机系统应用 , 2021 , 30 (4) : 222-226 . |
MLA | 张涛 et al. "基于CLPSO-CatBoost的贷款风险预测方法" . | 计算机系统应用 30 . 4 (2021) : 222-226 . |
APA | 张涛 , 范博 . 基于CLPSO-CatBoost的贷款风险预测方法 . | 计算机系统应用 , 2021 , 30 (4) , 222-226 . |
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