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on the credit classification of practicing qualification personnel in construction market based on self-organizingneural network

Fang Zhiqing,Wang Xueqing,Li Baolong

Strategic Study of CAE 2011, Volume 13, Issue 9,   Pages 105-108

Abstract: characters of the practicing qualification personnel in construction market, evaluation method based on the self-organizingnerural network is brought out to analyze the credit classification of the practicing qualificationThen a self-organizing competitive neural network is built.

Keywords： practicing qualification personnel     credit     cluster analysis     self-organizing neural network    

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 759-771 doi: 10.1007/s11705-022-2269-5

Abstract: This work introduces a deep-learning network, i.e., multi-input self-organizing-map ResNet (MISR), forThe model is comprised of self-organizing-map and the neural network parts.The self-organizing-map part maps the input data into multiple two-dimensional planes and sends themto the neural network part.In the neural network part, residual blocks enhance the convergence and accuracy, ensuring that the structure

Keywords： hydrocracking     convolutional neural networks     self-organizing map     deep learning     data-driven optimization    

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Self-organizing method for collaboration in multi-robot system on basis of balance principle

DONG Yangbin, JIANG Jinping, HE Yan

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 283-287 doi: 10.1007/s11465-008-0044-z

Abstract: of progress relation between the two subtasks on the whole task’s progress, and then puts forward a self-organizingSimulation shows the validity of the algorithm on self-organizing task allocation in a multi-robot system

Keywords： algorithm     self-organizing principle     validity     Simulation     allocation    

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Visualization of amino acid composition differences between processed protein from different animal species by self-organizing

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 2,   Pages 171-179 doi: 10.15302/J-FASE-2016095

Abstract: In this study, self-organizing feature maps (SOFM) were used to visualize amino acid composition of fish

Keywords： self-organizing feature maps     visualization     processed animal proteins (PAPs)     amino acid    

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Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 81-84

Abstract: data acquisition system is constructed, which is combined with the pattern recognition techniques of selforganizing competitive network for the research of gas qualitative analysis.

Keywords： gas sensor array     self organizing competitive network     qualitative analysis    

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Simulationmodel of self-organizing pedestrianmovement considering following behavior Article

Zhilu YUAN, Hongfei JIA, Mingjun LIAO, Linfeng ZHANG, Yixiong FENG, Guangdong TIAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1142-1150 doi: 10.1631/FITEE.1601592

Abstract: A new force is introduced in the social force model (SFM) for computing following behavior in pedestrian counterflow, whereby an individual tries to approach others in the same direction to avoid conflicts with pedestrians from the opposite direction. The force, like a kind of gravitation, is modeled based on the movement state and visual field of the pedestrian, and is added to the classical SFM. The modified model is presented to study the impact of following behavior on the process of lane formation, the conflict, the number of lanes formed, and the traffic efficiency in the simulations. Simulation results show that the following behavior has a significant effect on the phenomenon of lane formation and the traffic efficiency.

Keywords： Gravitation     Pedestrian counterflow     Social force model (SFM)     Lane formation     Self-organizing    

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Multi-AUV SOM task allocation algorithm considering initial orientation and ocean current environment Special Feature on Intelligent Robats

Da-qi ZHU, Yun QU, Simon X. YANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 330-341 doi: 10.1631/FITEE.1800562

Abstract: An improved self-organizing neural network task allocation model of multiple autonomous underwater vehicles

Keywords： Autonomous underwater vehicles     Self-organizing neural networks     Azimuths     Ocean current    

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Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Article

Zhengtao Gan, Hengyang Li, Sarah J. Wolff, Jennifer L. Bennett, Gregory Hyatt, Gregory J. Wagner, Jian Cao, Wing Kam Liu

Engineering 2019, Volume 5, Issue 4,   Pages 730-735 doi: 10.1016/j.eng.2019.03.014

Abstract: properties (PSP) linkages, the simulation and experimental datasets are input to a data-mining model—a self-organizing

Keywords： Additive manufacturing     Data science     Multiphysics modeling     Self-organizing map     Microstructure     Microhardness    

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Estimating moment capacity of ferrocement members using self-evolving network

Abdussamad ISMAIL

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 926-936 doi: 10.1007/s11709-019-0527-5

Abstract: In this paper, an empirical model based on self-evolving neural network is proposed for predicting theFurther comparisons with other data mining techniques including the back-propagation network, the adaptive

Keywords： ferrocement     moment capacity     self-evolving neural network    

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

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 284-305 doi: 10.1007/s11709-022-0901-6

Abstract: Fiber-reinforced self-compacting concrete (FRSCC) is a typical construction material, and its compressiveArtificial neural network, random forest, and categorical gradient boosting (CatBoost) models were optimized

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

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: The neural networks can be used to construct fully decoupled approaches in nonlinear multiscale methodsThis article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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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 applicationnetwork.Result shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.which can further expand and enrich the interpretable mechanism of artificial neural network in the future

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 214-223 doi: 10.1007/s11709-021-0800-2

Abstract: Such strategy leverages the high capacity of convolutional neural networks to identify and classify potential

Keywords： concrete structure     GPR     damage classification     convolutional neural network     transfer learning    

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 990-1002 doi: 10.1007/s11709-022-0864-7

Abstract: This study examined the feasibility of using the grey wolf optimizer (GWO) and artificial neural network(ANN) to predict the compressive strength (CS) of self-compacting concrete (SCC).

Keywords： artificial neural network     grey wolf optimize algorithm     compressive strength     self-compacting concrete    

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Title Author Date Type Operation

on the credit classification of practicing qualification personnel in construction market based on self-organizingneural network

Fang Zhiqing,Wang Xueqing,Li Baolong

Journal Article

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Journal Article

Self-organizing method for collaboration in multi-robot system on basis of balance principle

DONG Yangbin, JIANG Jinping, HE Yan

Journal Article

Visualization of amino acid composition differences between processed protein from different animal species by self-organizing

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Journal Article

Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

Journal Article

Simulationmodel of self-organizing pedestrianmovement considering following behavior

Zhilu YUAN, Hongfei JIA, Mingjun LIAO, Linfeng ZHANG, Yixiong FENG, Guangdong TIAN

Journal Article

Multi-AUV SOM task allocation algorithm considering initial orientation and ocean current environment

Da-qi ZHU, Yun QU, Simon X. YANG

Journal Article

Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing

Zhengtao Gan, Hengyang Li, Sarah J. Wolff, Jennifer L. Bennett, Gregory Hyatt, Gregory J. Wagner, Jian Cao, Wing Kam Liu

Journal Article

Estimating moment capacity of ferrocement members using self-evolving network

Abdussamad ISMAIL

Journal Article

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

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Journal Article

A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Journal Article