Resource Type

Journal Article 630

Conference Videos 14

Year

2024 1

2023 62

2022 61

2021 61

2020 56

2019 41

2018 34

2017 40

2016 23

2015 33

2014 20

2013 22

2012 13

2011 8

2010 10

2009 7

2008 20

2007 23

2006 19

2005 19

open ︾

Keywords

neural network 32

artificial neural network 21

Neural network 11

optimization 11

network 10

Artificial intelligence 8

convolutional neural network 7

fuzzy logic 7

genetic algorithm 7

Machine learning 6

artificial neural network (ANN) 6

Deep learning 5

BP neural network 4

Optimization 4

fuzzy comprehensive evaluation 4

6G 3

ANN 3

Artificial neural network 3

Bayesian optimization 3

open ︾

Search scope:

排序： Display mode:

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: In view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidificationcause analysis by finding the abnormal state of root node, which has a maximum posterior probability by Bayesian

Keywords： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification    

HTML PDF Collect

Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 80-98 doi: 10.1007/s11709-021-0682-3

Abstract: a novel probabilistic framework for evaluating liquefaction-induced lateral displacement using the Bayesianbelief network (BBN) approach based on an interpretive structural modeling technique.

Keywords： Bayesian belief network     seismically induced soil liquefaction     interpretive structural modeling     lateral    

HTML PDF Collect

Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 805-816 doi: 10.1631/FITEE.1500025

Abstract: to build a fuzzy relation model among individuals in the social network.The traditional social network is transformed into a fuzzy network by replacing the traditional relationswith fuzzy relation and calculating the global fuzzy measure such as network density and centralizationFinally, the trend of fuzzy network evolution is analyzed and predicted with a fuzzy Markov chain.Experimental results demonstrate that the fuzzy network has more superiority than the traditional network

Keywords： Time-series network     Fuzzy network     Fuzzy Markov chain    

HTML PDF Collect

Study on the Optimization of Public Traffic Line Network Based on Grey Fuzzy Numbers and Its Application

Deng Wei,Hu Qizhou

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 21-25

Abstract: p style="text-align: justify;">On the basis of considering each factor of urban public traffic line network,  the decision-making method for the optimization of urban public traffic line network is set upby grey theory and fuzzy theory. This paper proposes to use interval numbers of three parameters to present grey fuzzy numbers. It was applied to the practical optimization of urban public traffic line network in the city.

Keywords： public traffic line network     optimization     grey fuzzy numbers    

HTML PDF Collect

A Method of Constructing Fuzzy Neural Network Based on Rough Set Theory

Huang Xianming,Yi Jikai

Strategic Study of CAE 2004, Volume 6, Issue 4,   Pages 44-50

Abstract:

A new method of constructing fuzzy neural network is presented and Rough set theory is applied toSince Rough set theory has strong numeric analyzing ability and fuzzy neural network has exact functionThen, these rules are applied to constructing neural cell numbers and relative parameters in fuzzy neuralnetwork.Finally the initial network is trained by BP arithmetic and the whole network design is finished.

Keywords： fuzzy neural network     rough set     acquire rule     function approaching    

HTML PDF Collect

Research on fuzzy neural network control method for high-frequency vacuum drying of wood

Jiang Bin,Sun Liping,Cao Jun and Zhou Zheng

Strategic Study of CAE 2014, Volume 16, Issue 4,   Pages 17-20

Abstract: On the basis of theoretical analysis with high frequency in wood vacuum drying process，the fuzzy controllerand fuzzy neural network controller of wood drying are designed in view of the neural network methodThe simulation experiment results show that fuzzy neural network control is better，such as the temperature

Keywords： high-frequency vacuum     wood drying     fuzzy neural network    

HTML PDF Collect

A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 338-347 doi: 10.15302/J-FEM-2017032

Abstract: This study aims to solve a typical long-term strategic decision problem on supply chain network designnonanticipativity constraints, branch-and-fix coordination, sample average approximation (SAA) with BayesianA computational study of supply chain network with front-ends in Europe and back-ends in Asia is presented

Keywords： supply chain network     stochastic demand     sampling average approximation     Bayesian bootstrap     Latin hypercube    

HTML PDF Collect

Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 70-74

Abstract: This paper develops a linear programming method with LR type fuzzy numbers, which aims to estimate activity

Keywords： network scheduling     fuzzy linear programming     activity    

HTML PDF Collect

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 90-99 doi: 10.1007/s11709-016-0363-9

Abstract: experimental results, three different models of multiple linear regression model (MLR), artificial neural network(ANN), and adaptive neuro-fuzzy inference system (ANFIS) are established, trained, and tested within

Keywords： concrete     28 days compressive strength     multiple linear regression     artificial neural network     ANFIS     sensitivity    

HTML PDF Collect

Seismic vulnerability assessment of water supply network in Tianjin, China

Yanxi CHEN,Zhiguang NIU,Jiaqi BAI,Yufei WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 5,   Pages 767-775 doi: 10.1007/s11783-014-0632-6

Abstract: The water supply network (WSN) system is a critical element of civil infrastructure systems.the water supply pipelines would suffer in an earthquake, and the finite element software ABAQUS and fuzzyMembership functions based on fuzzy theory were established to calculate the membership of the componentsHowever, to consider the vulnerability of the whole system, fuzzy cluster analysis was used to distinguish

Keywords： water supply network     seismic vulnerability assessment     finite element     fuzzy mathematics    

HTML PDF Collect

Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system

Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 32-47 doi: 10.1007/s42524-019-0082-8

Abstract: Therefore, this study adopted project network theory and modeled innovation diffusion in megaprojectsIn addition, system dynamics and fuzzy systems were combined to interpret experts’ subject options asquantitative coefficients of the project network model.Three typical network structures, namely, a traditional megaproject procurement organization (TMO), theAssessment of project network productivity suggested that the projectivity of the TMO was insensitive

Keywords： megaproject     innovation adoption     project network     system dynamic     fuzzy logic    

HTML PDF Collect

Adaptive network fuzzy inference system based navigation controller for mobile robot Research Article

Panati SUBBASH, Kil To CHONG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 141-151 doi: 10.1631/FITEE.1700206

Abstract: We propose an adaptive network fuzzy inference system (ANFIS) based navigation controller for a differentialA training data set required to train the ANFIS controller has been obtained by designing a fuzzy logicobtained by the proposed method with reference mobile robot navigation controllers, such as neural network, fuzzy logic, and ANFIS.

Keywords： Adaptive network fuzzy inference system     Additive white Gaussian noise     Autonomous navigation     Mobile robot    

HTML PDF Collect

yield of pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-basedfuzzy inference system

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 and

Keywords： oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

HTML PDF Collect

A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

S. Q. XIE, S. C. WONG, William H. K. LAM

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 483-489 doi: 10.15302/J-FEM-2017023

Abstract: Bayesian inference was employed to calibrate the model by using prior data obtained from a previous controlled

Keywords： pedestrian flow model     bi-directional interactions     empirical studies     Bayesian inference    

HTML PDF Collect

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Strategic Study of CAE 2001, Volume 3, Issue 12,   Pages 42-46

Abstract:

A fuzzy neural network based on rough sets is presented in this paper.the structure and model are designed according these rules, and then the model is trained by neural network

Keywords： rough sets     fuzzy logic     neural network     rules extracted    

HTML PDF Collect

Title Author Date Type Operation

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD

Journal Article

Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Journal Article

Study on the Optimization of Public Traffic Line Network Based on Grey Fuzzy Numbers and Its Application

Deng Wei,Hu Qizhou

Journal Article

A Method of Constructing Fuzzy Neural Network Based on Rough Set Theory

Huang Xianming,Yi Jikai

Journal Article

Research on fuzzy neural network control method for high-frequency vacuum drying of wood

Jiang Bin,Sun Liping,Cao Jun and Zhou Zheng

Journal Article

A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

Journal Article

Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

Journal Article

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO

Journal Article

Seismic vulnerability assessment of water supply network in Tianjin, China

Yanxi CHEN,Zhiguang NIU,Jiaqi BAI,Yufei WANG

Journal Article

Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system

Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN

Journal Article

Adaptive network fuzzy inference system based navigation controller for mobile robot

Panati SUBBASH, Kil To CHONG

Journal Article

yield of pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-basedfuzzy inference system

J. Sargolzaei, A. Hedayati Moghaddam

Journal Article

A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

S. Q. XIE, S. C. WONG, William H. K. LAM

Journal Article

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Journal Article