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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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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.structure predicts more accurately the product yields and properties than the previously introduced self-organizing-map

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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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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Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 210-232 doi: 10.1007/s11708-017-0460-z

Abstract: electricity transportation, production, and consumption in the context of limited transmission networks and competitiveIn particular, the important interconnection between short-run network management approaches and optimallong-run investments in both generation facilities and network lines are highlighted.

Keywords： nodal pricing     zonal pricing     uniform pricing     competitive electricity markets     welfare maximization     redispatch    

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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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Knowledge-based competitive strategy using direct customer experience for automobile product development

Peter HODGES, Shuh Yuan LIOU,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 33-46 doi: 10.1007/s11465-009-0080-3

Abstract: In this dynamic environment, firms must identify competitive strategies that maintain or increase financialExpertise in integration requires attention to knowledge management, which is crucial for competitivetechnological and legal constraints and concludes that such a system is feasible, can provide a near-term competitive

Keywords： product development     strategy     knowledge management    

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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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Research on competitive strategy of Chinese manufacturing industry based on industrial value chain

Zhao Wencheng,Zhao Hong

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 54-59

Abstract: competitiveness, the study pointed out that the Chinese manufacturing industry should emphasize the competitive

Keywords： value chain of industry     manufacturing industry competitive strategy    

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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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Optimal production strategy for auto manufacturers with government subsidies in competitive environments

Frontiers of Engineering Management doi: 10.1007/s42524-023-0261-5

Abstract: Using the Hotelling model and evolutionary game theory, this paper studies the optimal production strategy of duopoly auto manufacturers and explores the impacts of two government policies (manufacturer and consumer subsidies) on strategies related to the production of electric vehicles (EVs) or fuel vehicles (FVs). The study finds that consumers’ environmental preferences have direct effects on manufacturers’ market shares and profits, which in turn, affect the manufacturers’ production strategy selection. Specifically, when consumer environmental preference is sufficiently high, both auto manufacturers will eventually choose to produce EVs; when it is moderate, only one with a cost advantage will choose to produce EVs. Finally, when it is low, neither auto manufacturer will produce EVs. The findings further reveal that the more significant the difference in EV production costs is, the more inclined auto manufacturers are to choose a different final stable strategy. Regardless of whether the government subsidizes manufacturers or consumers, the policy only works if subsidies reach a certain threshold. The study also identifies the conditions under which government subsidies are considered more cost-effective.

Keywords： supply chain management     low-carbon emission     electric vehicle     subsidy     evolutionary game theory    

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Title Author Date Type Operation

Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

Journal Article

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

Simulationmodel of self-organizing pedestrianmovement considering following behavior

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

Journal Article

Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

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

Knowledge-based competitive strategy using direct customer experience for automobile product development

Peter HODGES, Shuh Yuan LIOU,

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

Research on competitive strategy of Chinese manufacturing industry based on industrial value chain

Zhao Wencheng,Zhao Hong

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

Optimal production strategy for auto manufacturers with government subsidies in competitive environments

Journal Article