Resource Type

Journal Article 577

Conference Videos 6

Conference Information 2

Year

2023 53

2022 65

2021 45

2020 55

2019 44

2018 26

2017 27

2016 25

2015 27

2014 13

2013 22

2012 11

2011 10

2010 13

2009 10

2008 22

2007 33

2006 11

2005 15

2004 17

open ︾

Keywords

neural network 32

artificial neural network 21

function 15

Neural network 11

Artificial intelligence 9

convolutional neural network 7

genetic algorithm 7

neural networks 7

Deep learning 6

artificial neural network (ANN) 6

optimization 5

ANOVA 4

BP neural network 4

ANN 3

Artificial neural network 3

Boolean control networks 3

engineering 3

finite element method 3

1 2

open ︾

Search scope:

排序： Display mode:

Hydrogeological Parameter Identification Based on the Radial Basis Function Neural Networks

Zhang Junyan,Wei Lianwei,Han Weixiu,Shao Jingli,Cui Yali,Zhang Jianli

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 74-78

Abstract: With the limit of identifying the parameter by traditional methods, the radial basis function neuralnetworks (RBF) is applied into this area.

Keywords： groundwater     hydrogeological parameter     radial basis function (RBF) neural networks     BP neural networks    

HTML PDF Collect

Fault Pattern Recognition of Rolling Bearing Based on Radial Basis Function Neural Networks

Lu Shuang,Zhang Zida,Li Meng

Strategic Study of CAE 2004, Volume 6, Issue 2,   Pages 56-60

Abstract:

Radial basis function neural network is a type of three — layer feedforward network.In this paper, in the light of the merit of radial basis function neural network and on the basis ofRadial basis function neural networks is established based on AR model parameters.In the light of the theory of radial basis function neural networks, fault pattern of rolling bearingfunction neural networks theory is available and its precision is high.

Keywords： rolling bearing     vibration signal     AR model     RBF neural networks     pattern recognition    

HTML PDF Collect

An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 4,   Pages 470-479 doi: 10.1007/s11709-017-0440-8

Abstract: In this research, artificial neural network is proposed and added to Monte Carlo method for sake of reducingThen, the effects of the proposed artificial neural network are illustrated on decreasing computational

Keywords： stochastic analysis     random seismic excitation     finite element method     artificial neural network     frequency    

HTML PDF Collect

RBF-ANN-Based forecast method of transmutation of wall rock on multi-arch tunne

Xiao Zhiwang,Zhong Denghua

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 77-81

Abstract: According to the characteristics of feed forward neural network of radial basis function to construct

Keywords： multi-arch tunnel     deformation of wall rock     deformation forecast     radial basis function (RBF)     artificialneural network (ANN)    

HTML PDF Collect

An optimized grey wolf optimizer based on a mutation operator and eliminating-reconstructing mechanism and its application Article

Xiao-qing ZHANG, Zheng-feng MING

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1705-1719 doi: 10.1631/FITEE.1601555

Abstract: , MR-GWO is applied to the global optimization experiment of 13 standard continuous functions and a radialbasis function (RBF) network approximation experiment.

Keywords： Swarm intelligence     Grey wolf optimizer     Optimization     Radial basis function network    

HTML PDF Collect

A Forecasting Method for Tunnel Surrounding Rock Deformation Using RBF Neural Networks

Zhang Junyan,Feng Shouzhong,Liu Donghai

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 87-90

Abstract: deformation curve with inflexion points, a method for forecasting tunnel surrounding rock deformation using radialbasis function neural networks is presented.curves, but also has higher convergence speed and better globally-searching ability than those using BP neuralnetworks.

Keywords： RBF neural networks     tunnel construction     surrounding rock deformation     forecasting    

HTML PDF Collect

Penetration Depth of Projectiles Into Concrete Using Artificial Neural Network

Li Jianguang,Li Yongchi,Wang Yulan

Strategic Study of CAE 2007, Volume 9, Issue 8,   Pages 77-81

Abstract: . , and output of penetration depth is established by dimensional analysis and theory of artificial neuralnetworks for problem of penetration depth of projectiles into concrete. Moreover,  a satisfied output about penetration depth from RBF neural network is gotten by

Keywords： neural networks     dimensional analysis     penetration depth of projectiles into concrete     nonlinear mappingrelation     RBF neural networks    

HTML PDF Collect

Research on An On-line Tracking Self-learning Algorithm for Fuzzy Basis Function Neural Network

Xu Feiyun,Zhong Binglin,Huang Ren

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 48-53

Abstract:

An on-line tracking self-learning algorithm for fuzzy basis function(FBF) neural network classifier is proposed in this paper.

Keywords： fuzzy basis function     self-learning     fault diagnosis    

HTML PDF Collect

Some Theoretical Issues on Procedure Neural Networks

He Xingui,Liang Jiuzhen

Strategic Study of CAE 2000, Volume 2, Issue 12,   Pages 40-44

Abstract: Based on these neurons, a model named procedure neural network, which is also a feedforward network withThe authors call this neural network as Procedure Neural Network (PNN) expanded on certain base functionsThe related continuity, function approximation ability and computational capability theorems are proved

Keywords： procedure neural networks     function approximation ability     computational capability     continuity    

HTML PDF Collect

A knowledge matching approach based on multi-classification radial basis function neural network for Research Articles

Shu-you Zhang, Ye Gu, Guo-dong Yi, Zi-li Wang,zsy@zju.edu.cn,me_guye@zju.edu.cn,ygd@zju.edu.cn,ziliwang@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900057

Abstract: In addition, we propose a multi-classification radial basis function neural network that can match the

Keywords： Product design     Knowledge push system     Augmented training set     Multi-classification neural network     Knowledge    

HTML PDF Collect

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 applicationmathematical framework, which couples the complex structure of the system with the nonlinear activation functionthat 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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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).The analysis is carried out on the basis of a vulnerability index computed with a hybrid seismic vulnerabilityFinally, a computer routine that uses the ANN as an approximation function is developed and applied to

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

HTML PDF Collect

Adaptive construction of multiwavelet basis function and its applications for mechanical fault diagnosis

He Zhengjia,Sun Hailiang,Zi Yanyang

Strategic Study of CAE 2011, Volume 13, Issue 10,   Pages 83-92

Abstract: The paper studied the principle of inner product transform of dynamic signals and basis functions, proposedseveral construction methods of adaptive multiwavelet basis functions,and improved several multiwavelet

Keywords： mechanical fault diagnosis     principle of inner product transform     adaptive basis function     multiwavelet    

HTML PDF Collect

Title Author Date Type Operation

Hydrogeological Parameter Identification Based on the Radial Basis Function Neural Networks

Zhang Junyan,Wei Lianwei,Han Weixiu,Shao Jingli,Cui Yali,Zhang Jianli

Journal Article

Fault Pattern Recognition of Rolling Bearing Based on Radial Basis Function Neural Networks

Lu Shuang,Zhang Zida,Li Meng

Journal Article

An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

Journal Article

RBF-ANN-Based forecast method of transmutation of wall rock on multi-arch tunne

Xiao Zhiwang,Zhong Denghua

Journal Article

An optimized grey wolf optimizer based on a mutation operator and eliminating-reconstructing mechanism and its application

Xiao-qing ZHANG, Zheng-feng MING

Journal Article

A Forecasting Method for Tunnel Surrounding Rock Deformation Using RBF Neural Networks

Zhang Junyan,Feng Shouzhong,Liu Donghai

Journal Article

Penetration Depth of Projectiles Into Concrete Using Artificial Neural Network

Li Jianguang,Li Yongchi,Wang Yulan

Journal Article

Research on An On-line Tracking Self-learning Algorithm for Fuzzy Basis Function Neural Network

Xu Feiyun,Zhong Binglin,Huang Ren

Journal Article

Some Theoretical Issues on Procedure Neural Networks

He Xingui,Liang Jiuzhen

Journal Article

A knowledge matching approach based on multi-classification radial basis function neural network for

Shu-you Zhang, Ye Gu, Guo-dong Yi, Zi-li Wang,zsy@zju.edu.cn,me_guye@zju.edu.cn,ygd@zju.edu.cn,ziliwang@zju.edu.cn

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

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

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

Adaptive construction of multiwavelet basis function and its applications for mechanical fault diagnosis

He Zhengjia,Sun Hailiang,Zi Yanyang

Journal Article