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adaptive neuro-fuzzy inference system (ANFIS) 3

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concrete 2

28 days compressive strength 1

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Self-adaptive Creating of Truss Ground Structure Based on ANFIS

Li Ying,Hu Yunchang,Cao Hongduo

Strategic Study of CAE 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    

Evaluation of slope stability based on GA-ANFIS

Lin Xianzhi,Xue Tao,Yu Peng,Chen Qing

Strategic Study of CAE 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    

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    

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    

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

Dung Quang VU; Fazal E. JALAL; Mudassir IQBAL; Dam Duc NGUYEN; Duong Kien TRONG; Indra PRAKASH; Binh Thai PHAM

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   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    

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    

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    

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    

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    

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    

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    

An ANFIS-based Approach for Predicting MiningInduced Surface Subsidence

Ding Dexin,Zhang Zhijun,Bi Zhongwei

Strategic Study of CAE 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    

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    

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    

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 CAE 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    

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

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

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

Dung Quang VU; Fazal E. JALAL; Mudassir IQBAL; Dam Duc NGUYEN; Duong Kien TRONG; Indra PRAKASH; Binh Thai PHAM

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