Resource Type

Journal Article 702

Conference Videos 22

Year

2024 1

2023 76

2022 70

2021 72

2020 68

2019 48

2018 37

2017 41

2016 24

2015 30

2014 28

2013 22

2012 20

2011 19

2010 13

2009 16

2008 24

2007 25

2006 11

2005 16

open ︾

Keywords

neural network 32

artificial neural network 21

Neural network 11

network 10

optimization 9

Artificial intelligence 7

concrete 7

convolutional neural network 7

genetic algorithm 7

artificial neural network (ANN) 6

Deep learning 5

BP neural network 4

behavior 4

seismic behavior 4

6G 3

ANN 3

Artificial neural network 3

Machine learning 3

Network security 3

open ︾

Search scope:

排序： Display mode:

Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

HTML PDF Collect

Calculation of the Behavior Utility of a Network System: Conception and Principle Article

Changzhen Hu

Engineering 2018, Volume 4, Issue 1,   Pages 78-84 doi: 10.1016/j.eng.2018.02.010

Abstract: This paper describes scenes of network behavior as differential manifolds.behavior and propose a mathematical description of the network behavior path and behavior utility.Based on the principle of differential geometry, this paper puts forward the function of network behaviornetwork behavior utility.behavior.

Keywords： Network metric evaluation     Differential manifold     Network behavior utility     Network attack-defense confrontation    

HTML PDF Collect

An artificial neural network model on tensile behavior of hybrid steel-PVA fiber reinforced concrete

Fangyu LIU, Wenqi DING, Yafei QIAO, Linbing WANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1299-1315 doi: 10.1007/s11709-020-0712-6

Abstract: The tensile behavior of hybrid fiber reinforced concrete (HFRC) is important to the design of HFRC andThis study used an artificial neural network (ANN) model to describe the tensile behavior of HFRC.

Keywords： artificial neural network     hybrid fiber reinforced concrete     tensile behavior     sensitivity analysis     stress-strain    

HTML PDF Collect

Effects of herding behavior of tradable green certificate market players on market efficiency: Insights

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 266-285 doi: 10.1007/s11708-021-0752-1

Abstract: efficiency is reflected in stimulating renewable energy investment, but may be reduced by the herding behaviorheterogeneous agents, communication structure, and regulatory rules to explore the characteristics of herding behaviorThe results show that the evolution of herding behavior reduces information asymmetry and improves marketMoreover, the herding behavior may evolve to an equilibrium where the revenue of market players is comparable

Keywords： tradable green certificate     herding behavior     evolution     heterogeneous agent model     complex network    

HTML PDF Collect

Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-basedartificial neural network

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1181-1198 doi: 10.1007/s11709-021-0744-6

Abstract: In previous studies, there is a lack of illustration regarding the load sharing and interaction behaviorresults are then checked statistically with nonlinear multiple regression (NMR) and artificial neural network

Keywords： interaction     load sharing ratio     piled raft     nonlinear regression     artificial neural network    

HTML PDF Collect

Learning embeddings of a heterogeneous behavior network for potential behavior prediction Article

Yue-yang WANG, Wei-hao JIANG, Shi-liang PU, Yue-ting ZHUANG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 422-435 doi: 10.1631/FITEE.1800493

Abstract: Potential behavior prediction involves understanding the latent human behavior of specific groups, andcanIn this paper, we examine behavior data obtained in realworld scenarios as an information network composednetwork (HBN).heterogeneous network embedding (a4HNE), which jointly considers structural proximity, attribute resemblancemining tasks for potential behavior prediction.

Keywords： Network embedding     Representation learning     Human behavior     Social networks     Heterogeneous information network    

HTML PDF Collect

Design, analysis, and neural control of a bionic parallel mechanism

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 468-486 doi: 10.1007/s11465-021-0640-8

Abstract: The neural control of the parallel mechanism is realized by constructing a neuromechanical network, which

Keywords： neural control     behavior network     rhythm     motion pattern    

HTML PDF Collect

A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 6,   Pages 667-684 doi: 10.1007/s11709-022-0822-4

Abstract: classification, RFC) followed by 1) the cantilever top horizontal displacement of sheet wall (artificial neural network

Keywords： finite element analysis     cantilever sheet wall     machine learning     artificial neural network     random forest    

HTML PDF Collect

Learning Rat-Like Behavior for a Small-Scale Biomimetic Robot

Zihang Gao, Guanglu Jia, Hongzhao Xie, Qiang Huang, Toshio Fukuda, Qing Shi

Engineering 2022, Volume 17, Issue 10,   Pages 232-243 doi: 10.1016/j.eng.2022.05.012

Abstract: Existing biomimetic robots can perform some basic rat-like movement primitives (MPs) and simple behaviorTo mimic typical rat behavior with high similarity, we propose parameterizing the behavior usingsequences revealed that an actual rat has six typical behaviors in the open
field, and each kind of behaviorWe used the softmax classifier to obtain the behavior-movement hierarchical probability model.second-order Fourier series, and the joint trajectory was generalized using a back propagation neural network

Keywords： Biomimetic     Bio-inspired robot     Neural network learning system     Behavior generation    

HTML PDF Collect

Discoverymethod for distributed denial-of-service attack behavior inSDNs using a feature-pattern graphmodel Special Feature on Future Network-Research Article

Ya XIAO, Zhi-jie FAN, Amiya NAYAK, Cheng-xiang TAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1195-1208 doi: 10.1631/FITEE.1800436

Abstract: all the threats, distributed denial-of-service (DDoS) attacks can have a devastating impact on the networkThe feature-pattern graph model presented employs network patterns as nodes and similarity as weightedit can demonstrate not only the traffic header information but also the relationships among all the networkExperiments on two datasets prove the feasibility of the proposed method for attack behavior discovery

Keywords： Software-defined network     Distributed denial-of-service (DDoS)     Behavior discovery     Distance metric learning    

HTML PDF Collect

Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 131-136 doi: 10.15302/J-FEM-2015037

Abstract: , construction accidents frequently happen, which are significantly attributable to workers’ unsafe behaviorBehavior-based safety (BBS) is an effective method to modify workers’ unsafe behavior.This paper introduces the study on big data-based metro construction behavior modification, aiming toFirst, the behavior modification pushing mechanism based on content-based personalized recommendationSecondly, the development of behavior modification system of metro construction (BMSMC) is introduced

Keywords： big data     unsafe behavior     behavior modification     behavior-based safety (BBS)     unsafe behavior rate    

HTML PDF Collect

The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Engineering doi: 10.1016/j.eng.2023.05.020

Abstract: An end-to-end neural network, GIFNet, is tailored to estimate the GIF from explicit multidimensionalMoreover, the GIF contributes to explaining various predictions of pedestrians’ behavior in different

Keywords： Human behavior modeling and prediction     Implicit representation of pedestrian anticipation     Group interaction     Graph neural network    

HTML PDF Collect

Flow behavior of non-spherical particle flowing in hopper

He TAO,Wenqi ZHONG,Baosheng JIN

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 315-321 doi: 10.1007/s11708-014-0331-9

Abstract: Ellipsoidal particles flowing in the hopper were simulated by using the discrete element method (DEM), and described by the multi-element method. The contact detection algorithm and equations for ellipsoidal particle motion in hopper were developed. And the simulation results were confirmed by experiment. Additionally, the mass flow rate, pressure distribution and velocity distribution of two kinds of particles were examined. The results show that the mass flow rate of ellipsoidal particles is smaller than that of spherical particles. There is a maximum value of pressure drop at the top of the junction. Besides, the pressure drop decreases with the discharging time increasing. The velocity of spherical particle is larger than that of ellipsoidal.

Keywords： discrete element method     ellipsoidal particle     flow behavior     hopper    

HTML PDF Collect

A simplified method for investigating the bending behavior of piles supporting embankments on soft ground

Frontiers of Structural and Civil Engineering   Pages 1021-1032 doi: 10.1007/s11709-023-0952-3

Abstract: soil deformation mechanism and Poulos’ solution for pile–soil interaction to investigate the bending behaviorFurthermore, the effect of embedding a pile into a firm ground layer on the bending behavior was investigated

Keywords： bending behavior     pile     embankment     soil−structure interaction     failure mode    

HTML PDF Collect

Weakening behavior of waterproof performance in joints of shield tunnels under adjacent constructions

Frontiers of Structural and Civil Engineering   Pages 884-900 doi: 10.1007/s11709-022-0912-3

Abstract: In this study, the weakening behavior of waterproof performance was investigated in the joints of shield

Keywords： shield tunnel     waterproof performance     horizontal transverse deformation     joint opening     weakening behavior    

HTML PDF Collect

Title Author Date Type Operation

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Calculation of the Behavior Utility of a Network System: Conception and Principle

Changzhen Hu

Journal Article

An artificial neural network model on tensile behavior of hybrid steel-PVA fiber reinforced concrete

Fangyu LIU, Wenqi DING, Yafei QIAO, Linbing WANG

Journal Article

Effects of herding behavior of tradable green certificate market players on market efficiency: Insights

Journal Article

Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-basedartificial neural network

Journal Article

Learning embeddings of a heterogeneous behavior network for potential behavior prediction

Yue-yang WANG, Wei-hao JIANG, Shi-liang PU, Yue-ting ZHUANG

Journal Article

Design, analysis, and neural control of a bionic parallel mechanism

Journal Article

A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

Journal Article

Learning Rat-Like Behavior for a Small-Scale Biomimetic Robot

Zihang Gao, Guanglu Jia, Hongzhao Xie, Qiang Huang, Toshio Fukuda, Qing Shi

Journal Article

Discoverymethod for distributed denial-of-service attack behavior inSDNs using a feature-pattern graphmodel

Ya XIAO, Zhi-jie FAN, Amiya NAYAK, Cheng-xiang TAN

Journal Article

Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Journal Article

The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Journal Article

Flow behavior of non-spherical particle flowing in hopper

He TAO,Wenqi ZHONG,Baosheng JIN

Journal Article

A simplified method for investigating the bending behavior of piles supporting embankments on soft ground

Journal Article

Weakening behavior of waterproof performance in joints of shield tunnels under adjacent constructions

Journal Article