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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: ., multi-input self-organizing-map ResNet (MISR), for modeling refining units comprised of two reactorsThe 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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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-organizingThen a self-organizing competitive neural network is built.

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

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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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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 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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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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Exploring self-organization and self-adaption for smart manufacturing complex networks

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 206-222 doi: 10.1007/s42524-022-0225-1

Abstract: In this context, this paper investigates the mechanisms and methodology of self-organization and self-adaptionSpecifically, a general model of smart manufacturing complex networks is constructed using scale-freenetworks to interconnect heterogeneous manufacturing resources represented by network vertices at multipleMaterials, information, and financial assets are passed through interactive links across the networksSubsequently, analytical target cascading is used to formulate the processes of self-organizing optimal

Keywords： cyber–physical systems     Industrial Internet of Things     smart manufacturing complex networks     self-organizationand self-adaption     analytical target cascading     collaborative optimization    

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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 applicationdecoupled dimension reduction method of high-dimensional system and reveal the calculation mechanism of the neuralthat a simple linear mapping relationship exists between network structure and network behavior in the neuralnew interpretation mechanism provides not only the potential mathematical calculation principle of neuralor animal activities, which can further expand and enrich the interpretable mechanism of artificial neural

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks

J. Sargolzaei, A. Hedayati Moghaddam

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 3,   Pages 357-365 doi: 10.1007/s11705-013-1336-3

Abstract: Several simulation systems including a back-propagation neural network (BPNN), a radial basis functionneural network (RBFNN) and an adaptive-network-based fuzzy inference system (ANFIS) were tested andThe performance of these networks was evaluated using the coefficient of determination ( ) and the mean

Keywords： oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

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The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 609-622 doi: 10.1007/s11709-020-0623-6

Abstract: grades obtained resorting to a classic damage formulation and an innovative approach based on Artificial NeuralNetworks (ANNs).

Keywords： Artificial Neural Networks     seismic vulnerability     masonry buildings     damage estimation     vulnerability curves    

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Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network

T. Chandra Sekhara REDDY

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 490-503 doi: 10.1007/s11709-017-0445-3

Abstract: This paper is aimed at adapting Artificial Neural Networks (ANN) to predict the strength properties of

Keywords： artificial neural networks     root mean square error     SIFCON     silica fume     metakaolin     steel fiber    

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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 the

Keywords： ferrocement     moment capacity     self-evolving neural network    

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: This paper proposes the day-ahead electricity price forecasting using the artificial neural networks

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving    

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Title Author Date Type Operation

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

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

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

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

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

Journal Article

Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

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

Exploring self-organization and self-adaption for smart manufacturing complex networks

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks

J. Sargolzaei, A. Hedayati Moghaddam

Journal Article

The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Journal Article

Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network

T. Chandra Sekhara REDDY

Journal Article

Estimating moment capacity of ferrocement members using self-evolving network

Abdussamad ISMAIL

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article