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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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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: this paper presents a method for automating concrete damage classification using a deep convolutional neuralThe convolutional neural network was designed after an experimental investigation of a wide number of

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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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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Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4

Abstract: under different pump health conditions are fused into RGB images and then recognized by a convolutional neural

Keywords： axial piston pump     fault diagnosis     convolutional neural network     multi-sensor data fusion    

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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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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    

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and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based artificial neural

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

Abstract: obtained results are then checked statistically with nonlinear multiple regression (NMR) and artificial neural

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

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Cannabidiol prevents depressive-like behaviors through the modulation of neural stem cell differentiation

Frontiers of Medicine 2022, Volume 16, Issue 2,   Pages 227-239 doi: 10.1007/s11684-021-0896-8

Abstract: Chronic stress impairs radial neural stem cell (rNSC) differentiation and adult hippocampal neurogenesisTherefore, investigating the mechanism of neural differentiation and AHN is of great importance for developingThese results revealed a previously unknown neural mechanism for neural differentiation and AHN in depression

Keywords： cannabidiol     depression     radial neural stem cells     neurogenesis    

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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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Service life prediction of fly ash concrete using an artificial neural network

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 793-805 doi: 10.1007/s11709-021-0717-9

Abstract: lifetime of fly ash concrete by developing a carbonation depth prediction model that uses an artificial neuralMoreover, experimental validation carried out for the developed model shows that the artificial neural

Keywords： concrete     fly ash     carbonation     neural networks     experimental validation     service life    

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Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1430-6

Abstract:

• UV-vis absorption analyzer was applied in drainage type online recognition.

Keywords： Drainage online recognition     UV-vis spectra     Derivative spectrum     Convolutional neural network    

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GID complex regulates the differentiation of neural stem cells by destabilizing TET2

Frontiers of Medicine doi: 10.1007/s11684-023-1007-9

Abstract: Brain development requires a delicate balance between self-renewal and differentiation in neural stem

Keywords： TET2     GID complex     neural stem cells     differentiation of neurons    

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Neural Operation Management: A New Avenue for Productive and Military Operations

Qing-guo Ma

Frontiers of Engineering Management 2014, Volume 1, Issue 3,   Pages 304-307 doi: 10.15302/J-FEM-2014039

Abstract: practice to monitor and assess the operator’s physiological and psychological states online based on neural

Keywords： operation management     productive operation     military operation     neural operation management     neuromanagement    

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A neural network-based production process modeling and variable importance analysis approach in corn

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3,   Pages 358-371 doi: 10.1007/s11705-022-2190-y

Abstract: In this paper, a neural network-based production process modeling and variable importance analysis approachprocesses, which contains data preprocessing, dimensionality reduction, multilayer perceptron/convolutional neuralnetwork/recurrent neural network based modeling and extended weights connection method.by the extended weight connection method, and 20 of the most important sites are selected for each neuralThe results indicate that the multilayer perceptron and recurrent neural network models have a relative

Keywords： big data     corn to sugar factory     neural network     variable importance analysis    

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Title Author Date Type Operation

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

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

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

Journal Article

Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Journal Article

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

T. Chandra Sekhara REDDY

Journal Article

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

Journal Article

and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based artificial neural

Journal Article

Cannabidiol prevents depressive-like behaviors through the modulation of neural stem cell differentiation

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Service life prediction of fly ash concrete using an artificial neural network

Journal Article

Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Journal Article

GID complex regulates the differentiation of neural stem cells by destabilizing TET2

Journal Article

Neural Operation Management: A New Avenue for Productive and Military Operations

Qing-guo Ma

Journal Article

A neural network-based production process modeling and variable importance analysis approach in corn

Journal Article