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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    

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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    

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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)     artificial    

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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 bearingTheory and experiment show that the recognition of fault pattern of rolling bearing based on radial basis

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

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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: Since a lot of engineering problems are along with uncertain parameters, stochastic methods are of great importance for incorporating random nature of a system property or random nature of a system input. In this study, the stochastic dynamic analysis of soil mass is performed by finite element method in the frequency domain. Two methods are used for stochastic analysis of soil media which are spectral decomposition and Monte Carlo methods. Shear modulus of soil is considered as a random field and the seismic excitation is also imposed as a random process. In this research, artificial neural network is proposed and added to Monte Carlo method for sake of reducing computational effort of the random analysis. Then, the effects of the proposed artificial neural network are illustrated on decreasing computational time of Monte Carlo simulations in comparison with standard Monte Carlo and spectral decomposition methods. Numerical verifications are provided to indicate capabilities, accuracy and efficiency of the proposed strategy compared to the other techniques.

Keywords： stochastic analysis     random seismic excitation     finite element method     artificial neural network     frequency domain analysis     Monte Carlo simulation    

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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

Keywords： fuzzy basis function     self-learning     fault diagnosis    

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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    

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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.

Keywords： RBF neural networks     tunnel construction     surrounding rock deformation     forecasting    

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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 matching    

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Genetic basis of adult-onset nephrotic syndrome and focal segmental glomerulosclerosis

Jian Liu, Weiming Wang

Frontiers of Medicine 2017, Volume 11, Issue 3,   Pages 333-339 doi: 10.1007/s11684-017-0564-1

Abstract:

Nephrotic syndrome (NS) is one of the most common glomerular diseases with signs of nephrosis, heavy proteinuria, hypoalbuminemia, and edema. Dysfunction of glomerular filtration barrier causes protein loss through the kidneys. Focal segmental glomerulosclerosis (FSGS) accounts for nearly 20% of NS among children and adults. Adult-onset FSGS/NS is often associated with low response to steroid treatment and immunosuppressive medication and poor renal survival. Several genes involved in NS and FSGS have been identified by linkage analysis and next-generation sequencing. Most of these genes encode proteins and are highly expressed in glomerular podocytes, which play crucial roles in slit-diaphragm signaling, regulation of actin cytoskeleton dynamics and maintenance of podocyte integrity, and cell–matrix interactions. In this review, we focus on the recently identified genes in the adult-onset NS and FSGS and discuss clinical significance of screening of these genes.

Keywords： nephrotic syndrome     focal segmental glomerulosclerosis     genetic    

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Calculation method of radial stress and deformation on conic threaded connections with interference fit

Shoujun CHEN, Qiang LI, Qi AN,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 302-307 doi: 10.1007/s11465-010-0018-9

Abstract: This paper presents a calculation method for radial stress distribution and deformation on conic threadedThe model offers a new way of calculating the radial stress and deformation on conic thread connections

Keywords： conic threaded connections     interference fit     radial stress     deformation     finite element analysis (FEA)    

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Core designing of a new type of TVS-2M FAs: neutronics and thermal-hydraulics design basis limits

Saeed GHAEMI, Farshad FAGHIHI

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 256-278 doi: 10.1007/s11708-018-0583-x

Abstract: kgU), the critical concentration of boric acid at the BOC as well as the cycle length, the axial, and radial

Keywords： TVS-2M FAs     core design basis limits     VVER-1000     analysis     mixture of uranium-gadolinium oxides fuels     thermal-hydraulics    

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Developing effective tumor vaccines: basis, challenges and perspectives

XU Qingwen, CHEN Weifeng

Frontiers of Medicine 2007, Volume 1, Issue 1,   Pages 11-19 doi: 10.1007/s11684-007-0003-9

Abstract: A remarkable advance in tumor immunology during the last decade is the elucidation of the antigenic basis

Keywords： development     conventional     identification     elucidation     Successful immunotherapy    

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Hierarchical ZSM-5 zeolite with radial mesopores: Preparation, formation mechanism and application for

Darui Wang, Hongmin Sun, Wei Liu, Zhenhao Shen, Weimin Yang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 2,   Pages 248-257 doi: 10.1007/s11705-019-1853-9

Abstract: Hierarchical ZSM-5 zeolite with radial mesopores is controllably synthesized using piperidine in a NaOHIn this manner, radial mesopores are formed in the ZSM-5 zeolite with a maximal preservation of the microporesThe incorporation of the radial mesopores results in micropores that are interconnected which shortened

Keywords： hierarchical ZSM-5 zeolite     protective desilication     piperidine     radial mesopores     benzene alkylation    

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Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Frontiers of Structural and Civil Engineering   Pages 1086-1099 doi: 10.1007/s11709-023-0976-8

Abstract: Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Keywords： RBF     surrogate model     turbine support structures    

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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

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

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

Xiao Zhiwang,Zhong Denghua

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

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

Xu Feiyun,Zhong Binglin,Huang Ren

Journal Article

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

He Zhengjia,Sun Hailiang,Zi Yanyang

Journal Article

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

Zhang Junyan,Feng Shouzhong,Liu Donghai

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

Genetic basis of adult-onset nephrotic syndrome and focal segmental glomerulosclerosis

Jian Liu, Weiming Wang

Journal Article

Calculation method of radial stress and deformation on conic threaded connections with interference fit

Shoujun CHEN, Qiang LI, Qi AN,

Journal Article

Core designing of a new type of TVS-2M FAs: neutronics and thermal-hydraulics design basis limits

Saeed GHAEMI, Farshad FAGHIHI

Journal Article

Developing effective tumor vaccines: basis, challenges and perspectives

XU Qingwen, CHEN Weifeng

Journal Article

Hierarchical ZSM-5 zeolite with radial mesopores: Preparation, formation mechanism and application for

Darui Wang, Hongmin Sun, Wei Liu, Zhenhao Shen, Weimin Yang

Journal Article

Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate

Journal Article