Resource Type

Journal Article 1513

Conference Videos 78

Conference Topics 1

Year

2024 1

2023 95

2022 137

2021 135

2020 104

2019 83

2018 88

2017 80

2016 69

2015 86

2014 58

2013 54

2012 40

2011 49

2010 59

2009 42

2008 50

2007 66

2006 59

2005 39

open ︾

Keywords

optimization 17

system 17

index system 10

simulation 10

Artificial intelligence 9

system engineering 9

Multi-agent system 8

management 8

management system 8

Qian Xuesen 7

fuzzy logic 7

neural network 7

modeling 6

public health 6

sustainable development 6

system construction 6

artificial intelligence 5

engineering management 5

fault diagnosis 5

open ︾

Search scope:

排序： Display mode:

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

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

Abstract: voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzyinference systems (ANFIS) have been used for creation predictive models based on experimental observations

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

HTML PDF Collect

Well-being analysis of GSU transformer insulation incorporating the impact on power generation using fuzzy

Alagarsamy KRISHNAVEL, Dusmata Kumar MOHANTA, M. Jaya Bharata REDDY

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 288-299 doi: 10.1007/s11708-013-0265-7

Abstract: unexpected failure of generator step-up (GSU) transformer is especially a major disturbance in the power systemAs the predication related to failure of a GSU transformer is associated with some uncertainties, a fuzzy

Keywords： analysis     dissolved gases in oil analysis (DGA)     tan delta (TD)     sweep frequency response analysis (SFRA)     fuzzyinference system (FIS)    

HTML PDF Collect

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary

Keywords： foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

HTML PDF Collect

Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line

Tan Li,Liu Jin,Mei Liting

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 57-60

Abstract:

Developing fault diagnosis expert system for production line, the principle and method of structuringfuzzy inference engine are presented in this paper.Moreover, the idea of dynamic fuzzy relation with real time is introduced.

Keywords： fault diagnosis     expert system     fuzzy inference    

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 logicby the proposed method with reference mobile robot navigation controllers, such as neural network, fuzzy

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

HTML PDF Collect

falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzyinference system

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: ., a genetic algorithm (GA)-optimized adaptive neuro-fuzzy inference system (ANFIS-GA), to predict Y1

Keywords： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

HTML PDF Collect

Application for Practice in the Limestone Quarry Based on Genetic Algorithms-adaptive Network-based FuzzyInference System

Yang Shijiao,Dai Jianyong,Zeng Sheng

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 61-65

Abstract: parameter and ore cost for a raw material quarry of cement, the paper set up technical and economic systemmodel with adaptive network-based fuzzy inference system, solved solution of the system model with parallel

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

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: of induction motor drive to replace conventional hysteresis comparators and selection table, namely fuzzylogic, artificial neural network and adaptive neuro-fuzzy inference system (ANFIS).The simulated results obtained demonstrate the feasibility of the adaptive network-based fuzzy inferencesystem based direct torque control (ANFIS-DTC).Compared with the classical direct torque control, fuzzy logic based direct torque control (FL-DTC),

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

HTML PDF Collect

pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-based fuzzyinference 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: Various simulation tools were used to develop an effective intelligent system to predict the effectsneural network (BPNN), a radial basis function neural network (RBFNN) and an adaptive-network-based fuzzyinference system (ANFIS) were tested and their results were compared to determine the best predictive

Keywords： oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

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: Generally, the output power generation of the PV system depends on the intermittent solar insolation,Consequently, it is essential to track the generated power of the PV system and utilize the collectedaim of this paper is to simulate and control a grid-connected PV source by using an adaptive neuro-fuzzyinference system (ANFIS) and genetic algorithm (GA) controller.A dynamic modeling, control and simulation study of the PV system is performed with the Matlab/Simulink

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

HTML PDF Collect

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

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: In this research, discharge coefficient of weir-gate was predicated using adaptive neuro fuzzy inference

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

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: PCA) is fused with forward stepwise regression (SWR), artificial neural network (ANN), adaptive neuro-fuzzyinference system (ANFIS), and the least squares support vector machine (LS-SVM) model for the prediction

Keywords： component analysis (PCA)     Forward stepwise regression     Artificial neural network (ANN)     Adaptive neuro-fuzzyinference system (ANFIS)     Least squares support vector machine (LS-SVM)    

HTML PDF Collect

An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 307-316 doi: 10.1007/s11708-013-0269-3

Abstract: In this paper an interval type-2 fuzzy logic controller (IT2FLC) was proposed for thyristor controlledseries capacitor (TCSC) to improve power system damping.For controller design, memberships of system variables were represented using interval type-2 fuzzy setsThe three-dimensional membership function of type-2 fuzzy sets provided additional degree of freedomSimulations conducted on a single machine infinite bus (SMIB) power system showed that the proposed controller

Keywords： power system oscillations     thyristor controlled series capacitor (TCSC)     type-2 fuzzy logic system     intervaltype-2 fuzzy logic controller (IT2FLC)    

HTML PDF Collect

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 47-53

Abstract:

In this paper, incomplete fuzzy information system is studied.In order to deal with it by rough set theory, fuzzy compatible relation and fuzzy rough approximationFurthermore, fuzzy covering on universe is proposed, three different operations on the coverings areincomplete fuzzy information system.A new method for measuring the strength of partial fuzzy knowledge dependency is proposed.

Keywords： incomplete fuzzy information system     fuzzy compatible relation     fuzzy rough set     fuzzy covering     fuzzy roughentropy     fuzzy knowledge dependency    

HTML PDF Collect

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 131-148 doi: 10.1007/s11708-017-0446-x

Abstract: Nevertheless, the drawback of the PV system is intermittent because of depending on weather conditionsIn this paper, a novel topology of an intelligent hybrid generation system with PV and wind turbine isIn order to capture the maximum power, a hybrid fuzzy-neural maximum power point tracking (MPPT) methodis applied in the PV system.The average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentage

Keywords： photovoltaic     wind turbine     hybrid system     fuzzy logic controller     genetic algorithm     RBFNSM    

HTML PDF Collect

Title Author Date Type Operation

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Well-being analysis of GSU transformer insulation incorporating the impact on power generation using fuzzy

Alagarsamy KRISHNAVEL, Dusmata Kumar MOHANTA, M. Jaya Bharata REDDY

Journal Article

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Journal Article

Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line

Tan Li,Liu Jin,Mei Liting

Journal Article

Adaptive network fuzzy inference system based navigation controller for mobile robot

Panati SUBBASH, Kil To CHONG

Journal Article

falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzyinference system

Journal Article

Application for Practice in the Limestone Quarry Based on Genetic Algorithms-adaptive Network-based FuzzyInference System

Yang Shijiao,Dai Jianyong,Zeng Sheng

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

pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-based fuzzyinference system

J. Sargolzaei, A. Hedayati Moghaddam

Journal Article

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

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Journal Article

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

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

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

An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

Journal Article

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Journal Article