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Determination of shear strength of steel fiber RC beams: application of data-intelligence models

Abeer A. AL-MUSAWI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 667-673 doi: 10.1007/s11709-018-0504-4

Abstract: determine the shear strength of steel fiber reinforced concrete beams using the application of data-intelligenceFor the considered data-intelligence models, the input matrix attribute is one of the central elementin attaining accurate predictive model.The final results obtained indicated that the hybrid predictive model of ANN-PSO can be used efficientlyIn more representable details, the hybrid model attained the values of root mean square error and correlation

Keywords： hybrid intelligence model     shear strength     prediction     steel fiber reinforced concrete    

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Heading toward Artificial Intelligence 2.0

Yunhe Pan

Engineering 2016, Volume 2, Issue 4,   Pages 409-413 doi: 10.1016/J.ENG.2016.04.018

Abstract: space, and cyberspace, the information environment related to the current development of artificial intelligence

Keywords： Artificial intelligence 2.0     Big data     Crowd intelligence     Cross-media     Human-machine     hybrid-augmented     intelligence    

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Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 472-485 doi: 10.1007/s11708-015-0373-7

Abstract: hence, to effectively analyze the reactive power compensation of an isolated hybrid wind-diesel basedTo develop this composite load model, the exponential load is used as a static load model and inductionThis aggregate model is used as a dynamic load model.studies, especially in the area of voltage stability with reactive power compensation of an isolated hybridof static load and for the fifth and third order IM dynamic load model using state space model.

Keywords： isolated hybrid power system (IHPS)     composite load model     static load     dynamic load     induction motor loadmodel     aggregate load    

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Diffusion process in enzyme–metal hybrid catalysts

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 921-929 doi: 10.1007/s11705-022-2144-4

Abstract: Enzyme–metal hybrid catalysts bridge the gap between enzymatic and heterogeneous catalysis, which isPrevious studies have demonstrated that the enzyme–metal hybrid catalysts exhibited considerably higherHere, we investigated the diffusion process in enzyme–metal hybrid catalysts using Pd/lipase-PluronicThereafter, a kinetic model was developed and fitted to describe the proximity effect in hybrid catalystsResults indicated that the enhanced catalytic efficiency of hybrid catalysts may arise from the decreased

Keywords： enzyme–metal hybrid catalyst     internal diffusion     proximity effect     kinetic model    

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Statics of levitated vehicle model with hybrid magnets

Desheng LI, Zhiyuan LU, Tianwu DONG

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 35-39 doi: 10.1007/s11465-009-0002-4

Abstract: By studying the special characteristics of permanent and electronic magnets, a levitated vehicle modelwith hybrid magnets is established.The mathematical model of the vehicle is built based on its dynamics equation by studying its machineBased on the model, the basic characteristics and the effect between the excluding forces from permanent

Keywords： magnetic levitation     permanent magnet     modeling     equilibrium    

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Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 488-497 doi: 10.1007/s11684-020-0762-0

Abstract: The artificial intelligence (AI) diagnosis model was constructed according to the dynamic uncertain causalityThe model contained 132 variables of symptoms, signs, and serological and imaging parameters.The overall diagnostic accuracy rate of the model was 96.5%.In conclusion, the diagnostic accuracy of the AI model is promising and may compensate for the limitation

Keywords： knowledge representation     uncertain     causality     graphical model     artificial intelligence     diagnosis     dyspnea    

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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: In this study, we developed a novel hybrid artificial intelligence model, i.e., a genetic algorithm (The performance of the novel ANFIS-GA model was compared to that of other benchmark models, namely logisticThe results indicated that the ANFIS-GA model was the best at predicting Y1 (R = 0.945) and Y2Therefore, the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters

Keywords： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

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A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0688-0

Abstract: The use of artificial intelligence to process sensor data and predict the dimensional accuracy of machinedBased on the experimental data collected during the milling experiments, the proposed model proved toThe average classification accuracy obtained using the proposed deep learning model was 9.55% higherMoreover, the robustness of the hybrid model has been studied by considering the white Gaussian and coherentHence, the proposed hybrid model provides an efficient way of fusing different sources of process data

Keywords： precision milling     dimensional accuracy     cutting force     convolutional neural networks     coherent noise    

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A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1688-y

Abstract:

● A novel VMD-IGOA-LSTM model has proposed for the prediction of

Keywords： Water quality prediction     Grasshopper optimization algorithm     Variational mode decomposition     Long short-term memory neural network    

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Research on New Mode and Business Model of Manufacturing Led by New-Generation Artificial Intelligence

Research Group for Research on New Mode and Business Model of Manufacturing Led by New-Generation ArtificialIntelligence Technology

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 66-72 doi: 10.15302/J-SSCAE-2018.04.011

Abstract:

Led by the development of artificial intelligence technology, the productionDriven by the new generation of artificial intelligence technology, new modes and business models generated

Keywords： artificial intelligence     manufacturing     new mode     new business model    

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The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 233-237 doi: 10.1007/s11465-006-0003-5

Abstract: This paper presents the hybrid model identification for a class of nonlinear circuits and systems viaAfter discussing the method to establish the hybrid model and introducing the hybrid model identification, a set of relative formulas are derived for calculating the hybrid model and computing the Volterra

Keywords： block-pulse function     nonlinear     multiple     diagnosis     combination    

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Convergence performance comparisons of PID, MRAC, and PID+MRAC hybrid controller

Dan ZHANG,Bin WEI

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 2,   Pages 213-217 doi: 10.1007/s11465-016-0386-x

Abstract:

This study proposes a hybrid controller by combining a proportional-integral-derivative (PID) controland a model reference adaptive control (MRAC), which named as PID+MRAC controller.The convergence performances of the PID control, MRAC, and hybrid PID+MRAC are also compared.In addition, the convergence performance of the hybrid control is better than that of the MRAC control

Keywords： proportional-integral-derivative (PID) control     model reference adaptive control     hybrid control     convergence    

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Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 976-989 doi: 10.1007/s11709-022-0840-2

Abstract: This paper improves ANN training after introducing BOA as a hybrid model (BOA-ANN).

Keywords： damage prediction     ANN     BOA     FEM     experimental modal analysis    

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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.This ANN model can describe well the tensile stress-strain curve of HFRC with the consideration of 23Moreover, a traditional equation-based model is also established and compared with the ANN model.The results show that the ANN model has a better prediction than the equation-based model in terms of

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

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Evaluation of factors influencing soluble microbial product in submerged MBR through hybrid ASM model

Fangyue LI, Joachim BEHRENDT, Knut WICHMANN, Ralf OTTERPOHL

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 2,   Pages 226-235 doi: 10.1007/s11783-009-0008-5

Abstract: In this study, a mathematical model was established to predict the formation of the soluble microbialThe developed model was calibrated under the reference condition.The calibrated model was then used in the scenario studies to evaluate the effect of three chosen operating

Keywords： hybrid activated sludge model (ASM)     membrane bioreactor (MBR)     soluble microbial product (SMP)    

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Title Author Date Type Operation

Determination of shear strength of steel fiber RC beams: application of data-intelligence models

Abeer A. AL-MUSAWI

Journal Article

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Journal Article

Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Journal Article

Diffusion process in enzyme–metal hybrid catalysts

Journal Article

Statics of levitated vehicle model with hybrid magnets

Desheng LI, Zhiyuan LU, Tianwu DONG

Journal Article

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Journal Article

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive

Journal Article

A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of

Journal Article

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Journal Article

Research on New Mode and Business Model of Manufacturing Led by New-Generation Artificial Intelligence

Research Group for Research on New Mode and Business Model of Manufacturing Led by New-Generation ArtificialIntelligence Technology

Journal Article

The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Journal Article

Convergence performance comparisons of PID, MRAC, and PID+MRAC hybrid controller

Dan ZHANG,Bin WEI

Journal Article

Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

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

Evaluation of factors influencing soluble microbial product in submerged MBR through hybrid ASM model

Fangyue LI, Joachim BEHRENDT, Knut WICHMANN, Ralf OTTERPOHL

Journal Article