Search | Engineering

Subscribe Submit

Home Journals Focus Videos Achievement Fronts Contact Us 中文版

Resource Type

Journal Article 16

Year

2021 1

2019 2

2017 3

2015 2

2014 1

2013 2

2011 1

2007 1

2005 1

2004 1

open ︾

Keywords

ANFIS 4

adaptive neuro-fuzzy inference system (ANFIS) 3

uncertainty 3

artificial neural network 2

concrete 2

28 days compressive strength 1

ANFIS model 1

Adaptive neuro-fuzzy inference system (ANFIS) 1

Artificial neural network (ANN) 1

Automatic generation control (AGC) 1

Blood pressure (BP) 1

Forward stepwise regression 1

GA-ANFIS model 1

Hierarchical adaptive neuro-fuzzy inference system controller (HANFISC) 1

Interconnected multi-source power systems 1

Least squares support vector machine (LS-SVM) 1

Multi-objective particle swarm optimization (MOPSO) 1

Power system dynamic stability 1

Principal component analysis (PCA) 1

open ︾

Search scope:

排序： Display mode:

Self-adaptive Creating of Truss Ground Structure Based on ANFIS

Li Ying,Hu Yunchang,Cao Hongduo

Strategic Study of Chinese Academy of Engineering 2004, Volume 6, Issue 10, Pages 24-27

Abstract: ground structures of truss structures are intelligently and automatically created by using collateral ANFISTo produce appropriate data format of ANFIS, the topology configuration of trusses is described as a

Keywords： truss ANFIS intelligent self-adaptive

HTML PDF Collect

Evaluation of slope stability based on GA-ANFIS

Lin Xianzhi,Xue Tao,Yu Peng,Chen Qing

Strategic Study of Chinese Academy of Engineering 2011, Volume 13, Issue 3, Pages 77-81

Abstract: It was shown that the results of GA-ANFIS model are consistent with field condition, which makes it be

Keywords： GA-ANFIS model evaluation index uncertainty slope stability evaluation

HTML PDF Collect

Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive

Frontiers of Structural and Civil Engineering Pages 1003-1016 doi: 10.1007/s11709-022-0846-9

Abstract: In this study, we developed novel hybrid models namely Adaptive Neuro Fuzzy Inference System (ANFIS)optimized by Shuffled Complex Evolution (SCE) on the one hand and ANFIS with Artificial Bee Colony (ABCHowever, the ANFIS-ABC model reflected better convergence of the results and better performance comparedto that of ANFIS-SCE in the prediction of the concrete Cs.Thus, the ANFIS-ABC model can be used for the quick and accurate estimation of compressive strength of

Keywords： shuffled complex evolution artificial bee colony ANFIS concrete compressive strength Vietnam

HTML PDF Collect

Reactive power compensation of an isolated hybrid power system with load interaction using ANFIS tuned

Nitin SAXENA,Ashwani KUMAR

Frontiers in Energy 2014, Volume 8, Issue 2, Pages 261-268 doi: 10.1007/s11708-014-0298-6

Abstract: This paper presents an adaptive neuro fuzzy interference system (ANFIS) based approach to tune the parametersAn ANFIS tuned constants of a STATCOM controller for controlling the reactive power requirement to stabilize

Keywords： isolated wind-diesel power system adaptive neuro fuzzy interference system (ANFIS) integral square error

HTML PDF Collect

Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Frontiers in Energy 2015, Volume 9, Issue 3, Pages 322-334 doi: 10.1007/s11708-015-0362-x

Abstract: simulate and control a grid-connected PV source by using an adaptive neuro-fuzzy inference system (ANFISThe simulation results indicate that the ANFIS-GA controller can meet the need of load easily with less

Keywords： photovoltaic system maximum power point (MPP) adaptive neuro-fuzzy inference system (ANFIS) genetic algorithm

HTML PDF Collect

Note to: Dynamic stability enhancement of interconnected multi-source power systems using hierarchical ANFIS Retraction Note

Ali Darvish FALEHI, Ali MOSALLANEJAD

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5, doi: 10.1631/FITEE.19r0001

Abstract: None

Keywords： None

HTML PDF Collect

Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems (ANFIS

Abbas PARSAIE,Amir Hamzeh HAGHIABI,Mojtaba SANEIE,Hasan TORABI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1, Pages 111-122 doi: 10.1007/s11709-016-0354-x

Abstract: research, discharge coefficient of weir-gate was predicated using adaptive neuro fuzzy inference systems (ANFISTo compare the performance of ANFIS with other types of soft computing techniques, multilayer perceptronResults of MLP and ANFIS showed that both models have high ability for modeling and predicting dischargecoefficient; however, ANFIS is a bit more accurate.The sensitivity analysis of MLP and ANFIS showed that Froude number of flow at upstream of weir and ratio

Keywords： weir-gate soft computing crest geometry circular crest weir cylindrical shape

HTML PDF Collect

Key uncertainty events impacting on the completion time of highway construction projects

Alireza MOGHAYEDI, Abimbola WINDAPO

Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 275-298 doi: 10.1007/s42524-019-0022-7

Abstract: Based on the obtained data, an Adaptive Neuro Fuzzy Inference System (ANFIS) has been developed, as aTo validate the ANFIS model, the Stepwise Regression (SR) models have been designed and their resultsare compared with the results of the ANFIS.

Keywords： ANFIS construction time impact assessment highway project South Africa uncertainty

HTML PDF Collect

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related uncertainties

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization (ANFIS-BBOThus, the proposed ANFIS-BBO is a capable cost-effective method for predicting long contraction scouring

Keywords： long contraction scour prediction uncertainty ANFIS model meta-heuristic algorithm

HTML PDF Collect

Comparative study of various artificial intelligence approaches applied to direct torque control of induction motor drives

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Frontiers in Energy 2013, Volume 7, Issue 4, Pages 456-467 doi: 10.1007/s11708-013-0264-8

Abstract: selection table, namely fuzzy logic, artificial neural network and adaptive neuro-fuzzy inference system (ANFISdemonstrate the feasibility of the adaptive network-based fuzzy inference system based direct torque control (ANFIS-DTCdirect torque control (FL-DTC), and neural networks based direct torque control (NN-DTC), the proposed ANFIS-based

Keywords： adaptive neuro-fuzzy inference system (ANFIS) artificial neural network direct torque control (DTC) fuzzy

HTML PDF Collect

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing electro chemical machining process

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4, Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy inference systems (ANFISThen the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SRResults indicated that the ANFIS technique has superiority in modeling of MRR and SR with high prediction

Keywords： electrochemical machining process (ECM) modeling adaptive neuro-fuzzy inference system (ANFIS) optimization

HTML PDF Collect

An ANFIS-based Approach for Predicting MiningInduced Surface Subsidence

Ding Dexin,Zhang Zhijun,Bi Zhongwei

Strategic Study of Chinese Academy of Engineering 2007, Volume 9, Issue 1, Pages 33-39

Abstract: induced surface subsidence,integrated these examples by using adaptive neuro-fuzzy inference system (ANFIS)and established an ANFIS-based approach for predicting mining induced surface subsidence.The approach

Keywords： underground mining mining induced surface subsidence adaptive neuro唱fuzzy inferencesystem

HTML PDF Collect

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

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: regression model (MLR), artificial neural network (ANN), and adaptive neuro-fuzzy inference system (ANFISFinally, these three models are compared with each other and resulted in the fact that ANN and ANFIS

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

HTML PDF Collect

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 474-485 doi: 10.1631/FITEE.1400295

Abstract: stepwise regression (SWR), artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS

Keywords： Forward stepwise regression Artificial neural network (ANN) Adaptive neuro-fuzzy inference system (ANFIS

HTML PDF Collect

Technical and Economic Parameter Optimization Research and Application for Practice in the Limestone Quarry Based on Genetic Algorithms-adaptive Network-based Fuzzy Inference System

Yang Shijiao,Dai Jianyong,Zeng Sheng

Strategic Study of Chinese Academy of Engineering 2005, Volume 7, Issue 6, Pages 61-65

Abstract:

To request for relating law between technical and economic parameter and ore cost for a raw material quarry of cement, the paper set up technical and economic system model with adaptive network-based fuzzy inference system, solved solution of the system model with parallel genetic algorithms, and received optimal technical and economic indices. It provides important reference for production management and improving economic benefits in quarry.

Keywords： adaptive network-based fuzzy inference system parallel genetic algorithms technical and economic parameter

HTML PDF Collect

Title Author Date Type Operation

Self-adaptive Creating of Truss Ground Structure Based on ANFIS

Li Ying,Hu Yunchang,Cao Hongduo

Journal Article

Evaluation of slope stability based on GA-ANFIS

Lin Xianzhi,Xue Tao,Yu Peng,Chen Qing

Journal Article

Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive

Journal Article

Reactive power compensation of an isolated hybrid power system with load interaction using ANFIS tuned

Nitin SAXENA,Ashwani KUMAR

Journal Article

Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Journal Article

Note to: Dynamic stability enhancement of interconnected multi-source power systems using hierarchical ANFIS

Ali Darvish FALEHI, Ali MOSALLANEJAD

Journal Article

Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems (ANFIS

Abbas PARSAIE,Amir Hamzeh HAGHIABI,Mojtaba SANEIE,Hasan TORABI

Journal Article

Key uncertainty events impacting on the completion time of highway construction projects

Alireza MOGHAYEDI, Abimbola WINDAPO

Journal Article

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related uncertainties

Journal Article

Comparative study of various artificial intelligence approaches applied to direct torque control of induction motor drives

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing electro chemical machining process

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

An ANFIS-based Approach for Predicting MiningInduced Surface Subsidence

Ding Dexin,Zhang Zhijun,Bi Zhongwei

Journal Article

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

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

Journal Article

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Journal Article

Technical and Economic Parameter Optimization Research and Application for Practice in the Limestone Quarry Based on Genetic Algorithms-adaptive Network-based Fuzzy Inference System

Yang Shijiao,Dai Jianyong,Zeng Sheng

Journal Article

关注我们