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Principle of maximum entropy for reliability analysis in the design of machine components

Yimin ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 21-32 doi: 10.1007/s11465-018-0512-z

Abstract: components with parameters that follow an arbitrary statistical distribution using the principle of maximumentropy (PME).PDF) and a failure probability model for the parameters of mechanical components using the concept of entropy

Keywords： machine components     reliability     arbitrary distribution parameter     principle of maximum entropy    

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Maximum entropy based finite element analysis of porous media

Emad NOROUZI, Hesam MOSLEMZADEH, Soheil MOHAMMADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 364-379 doi: 10.1007/s11709-018-0470-x

Abstract: The maximum entropy theory has been used in a wide variety of physical, mathematical and engineeringIn this paper, the maximum entropy theory is adopted to spatially discretize the deformation variable

Keywords： maximum entropy FEM     fully coupled multi-phase system     porous media    

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High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 406-416 doi: 10.1007/s11709-018-0475-5

Abstract: We approximate the fracture surface energy functional based on phase-field method with smooth local maximumentropy (LME) and second-order maximum entropy (SME) approximants.

Keywords： second-order maximum entropy     local maximum entropy     second- and fourth-order phase-field models     B-spline    

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The Model on Maximum Entropy of Knowledge Creating Stochastic Process

Chen Xin,He Jinsheng,Dong Liping

Strategic Study of CAE 2004, Volume 6, Issue 12,   Pages 43-46

Abstract: existing relevant knowledge influences the formation of the new knowledge, this thesis sets up the maximumentropy fundamental model of the stochastic prosess of knowledge innovation by applying the probability& statistics theory, the optimization theory and the maximum entropy principle comprehensively,

Keywords： maximum entropy     knowledge innovation     conditional entropy     stochastic process    

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Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable environments Research Article

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG,yixiangren@zju.edu.cn,zhenhuiye@zju.edu.cn,ch19930611@zju.edu.cn,ghsong@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 117-130 doi: 10.1631/FITEE.2200073

Abstract: robustness, we design a method that can learn stochastic policies of a configurable target action entropy

Keywords： Deep reinforcement learning     Graph-based communication     Maximum-entropy learning     Partial observability    

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The Complex Method Based on Maximum Entropy Principle and Its Application to the Slope Stability Analysis

Li Liang,Chi Shichun,Lin Gao

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 64-68

Abstract:

Maximum entropy principle is imported into the basic complex method in order to improve the ratiopresented as follows: firstly the search optimum design point is defined as the design point whose entropyThe basic complex method and the complex method based on maximum entropy principle are used to locatesoil slopes and the comparisons of the results suggest that the ability of the complex method based on maximumentropy principle to find global optimum is stronger than that of the basic complex method.

Keywords： entropy     complex method     slope stability     factor of safety    

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Robust Maximum Entropy Clustering Algorithm RMEC and Its Outlier Labeling

Deng Zhaohong,Wang Shitong,Wu Xisheng,Hu Dewen

Strategic Study of CAE 2004, Volume 6, Issue 9,   Pages 38-45

Abstract:

In this paper, the novel robust maximum entropy clustering algorithm RMEC, as the improved versionof the maximum entropy algorithm MEC, is presented to overcome its drawbacks: very sensitive to outliers

Keywords： entropy     clustering     robustness     outliers     ε-insensitive loss function     weight factors    

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Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management   Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: Using Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified thecommonly used demand prediction models to compare the empirical prediction accuracy with the calculated entropyFurthermore, we explored how city- and system-specific temporally-constant features would impact entropy(a low entropy of 0.65) and others have almost no check-out demand uncertainty (a high entropy of aroundLastly, we identified that key factors contributing to station-level entropy and predictability include

Keywords： bike share systems     demand prediction     prediction errors     machine learning     entropy    

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High-entropy catalysts for electrochemical water-electrolysis of hydrogen evolution and oxygen evolution

Frontiers in Energy doi: 10.1007/s11708-023-0892-6

Abstract: High entropy materials (HEMs) have developed rapidly in the field of electrocatalytic water-electrolysisTherefore, they have rich active sites and enhanced entropy stability relative to single atoms.First, the concept and four characteristics of HEMs are introduced based on entropy and composition.

Keywords： high-entropy     electrocatalysis     synthetic methods     water-electrolysis     hydrogen and oxygen evolutions    

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Application of entropy-based fuzzy matter-element analysis in seepage monitoring of RCC dam

Chongshi GU, Zhijun ZHANG, Xin CAI, Yue HOU

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1,   Pages 105-111 doi: 10.1007/s11709-010-0015-4

Abstract: The use of entropy theory can calculate the weighting factor through the disorder utility values of theAnd further the example shows that the analysis of entropy-based fuzzy matter-element analysis model

Keywords： information entropy     fuzzy matter-element     roller compacted concrete (RCC) dam     seepage analysis    

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Optimization of cold-end system of thermal power plants based on entropy generation minimization

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 956-972 doi: 10.1007/s11708-021-0785-5

Abstract: optimization methods of cold-end systems with single- and multi-pressure condensers are developed based on the entropydistribution in condensers, and cooling water mass flow rate, are optimized while considering detailed entropyThe results show that the entropy generation rate of the multi-pressure cold-end system is less than

Keywords： cold-end system     entropy generation minimization     optimization     economic analysis     genetic algorithm    

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Entropy flow, entropy generation, exergy flux, and optimal absorbing temperature in radiative transfer

Zeshao CHEN, Songping MO, Peng HU, Shouli JIANG, Gang WANG, Xiaofang CHENG,

Frontiers in Energy 2010, Volume 4, Issue 3,   Pages 301-305 doi: 10.1007/s11708-010-0006-0

Abstract: The formulas of entropy flow, entropy generation, exergy flux, and optimal temperature of absorbing surfacefor maximum exergy output are derived.

Keywords： radiative heat transfer     entropy generation     exergy     thermodynamics    

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Analytic Method to a Kind of Grey Fuzzy Decision Making Based on Entropy

Luo Dang,Liu Siwei

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 48-51

Abstract: In this paper, using optimization theory and the maximum entropy formulism, a method for multi-attribute

Keywords： grey fuzzy relation     entropy     multi-attribute decision making    

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Layer-wise domain correction for unsupervised domain adaptation Article

Shuang LI, Shi-ji SONG, Cheng WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 91-103 doi: 10.1631/FITEE.1700774

Abstract: Deep neural networks have been successfully applied to numerous machine learning tasks because of theirThe corrections that are trained via maximum mean discrepancy, adapt to the target domain while increasing

Keywords： Unsupervised domain adaptation     Maximum mean discrepancy     Residual network     Deep learning    

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A new constrained maximum margin approach to discriminative learning of Bayesian classifiers None

Ke GUO, Xia-bi LIU, Lun-hao GUO, Zong-jie LI, Zeng-min GENG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 639-650 doi: 10.1631/FITEE.1700007

Abstract: We propose a novel discriminative learning approach for Bayesian pattern classification, called ‘constrainedmaximum margin (CMM)’.between two classes as the difference between the minimum decision value for positive samples and the maximumThe learning problem is to maximize the margin under the constraint that each training pattern is classified

Keywords： Discriminative learning     Statistical modeling     Bayesian pattern classifiers     Gaussian mixture models     UCI    

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Title Author Date Type Operation

Principle of maximum entropy for reliability analysis in the design of machine components

Yimin ZHANG

Journal Article

Maximum entropy based finite element analysis of porous media

Emad NOROUZI, Hesam MOSLEMZADEH, Soheil MOHAMMADI

Journal Article

High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Journal Article

The Model on Maximum Entropy of Knowledge Creating Stochastic Process

Chen Xin,He Jinsheng,Dong Liping

Journal Article

Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable environments

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG,yixiangren@zju.edu.cn,zhenhuiye@zju.edu.cn,ch19930611@zju.edu.cn,ghsong@zju.edu.cn

Journal Article

The Complex Method Based on Maximum Entropy Principle and Its Application to the Slope Stability Analysis

Li Liang,Chi Shichun,Lin Gao

Journal Article

Robust Maximum Entropy Clustering Algorithm RMEC and Its Outlier Labeling

Deng Zhaohong,Wang Shitong,Wu Xisheng,Hu Dewen

Journal Article

Understanding the demand predictability of bike share systems: A station-level analysis

Journal Article

High-entropy catalysts for electrochemical water-electrolysis of hydrogen evolution and oxygen evolution

Journal Article

Application of entropy-based fuzzy matter-element analysis in seepage monitoring of RCC dam

Chongshi GU, Zhijun ZHANG, Xin CAI, Yue HOU

Journal Article

Optimization of cold-end system of thermal power plants based on entropy generation minimization

Journal Article

Entropy flow, entropy generation, exergy flux, and optimal absorbing temperature in radiative transfer

Zeshao CHEN, Songping MO, Peng HU, Shouli JIANG, Gang WANG, Xiaofang CHENG,

Journal Article

Analytic Method to a Kind of Grey Fuzzy Decision Making Based on Entropy

Luo Dang,Liu Siwei

Journal Article

Layer-wise domain correction for unsupervised domain adaptation

Shuang LI, Shi-ji SONG, Cheng WU

Journal Article

A new constrained maximum margin approach to discriminative learning of Bayesian classifiers

Ke GUO, Xia-bi LIU, Lun-hao GUO, Zong-jie LI, Zeng-min GENG

Journal Article