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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: flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptiveneuro-fuzzy inference systems (ANFIS) have been used for creation predictive models based on experimental

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

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptiveneuro-fuzzy inference 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    

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    

RETRACTED ARTICLE: Dynamic stability enhancement of interconnected multi-source power systems using hierarchicalANFIS controller-TCSC based on multi-objective PSO Article

Ali Darvish FALEHI,Ali MOSALLANEJAD

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 394-409 doi: 10.1631/FITEE.1500317

Abstract: To alleviate the system oscillation resulting from such load changes, implementation of flexible AC transmissionis used to augment the overall dynamic performance of a multi-area multi-source interconnected power systemTo this end, we have used a hierarchical adaptive neuro-fuzzy inference system controller-TCSC (HANFISC-TCSCThe efficiency of the suggested HANFISC-TCSC has been precisely evaluated and compared with that of thesimulation results obtained from both power systems have transparently certified the high performance of HANFISC-TCSC

Keywords: Hierarchical adaptive neuro-fuzzy inference system controller (HANFISC)     Thyristor-controlled series compensator(TCSC)     Automatic generation control (AGC)     Multi-objective particle swarm optimization (MOPSO)     Power system    

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,The aim 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.The simulation results indicate that the ANFIS-GA controller can meet the need of load easily with lessMoreover, to control both line voltage and current, a grid side P/Q controller has been applied.

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

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    

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: component analysis (PCA) is fused with forward stepwise regression (SWR), artificial neural network (ANN), adaptiveneuro-fuzzy inference system (ANFIS), and the least squares support vector machine (LS-SVM) model for

Keywords: Principal component analysis (PCA)     Forward stepwise regression     Artificial neural network (ANN)     Adaptiveneuro-fuzzy inference system (ANFIS)     Least squares support vector machine (LS-SVM)    

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 logicbased navigation controller.The robustness of the proposed navigation controller has been evaluated by navigating the mobile robotby 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    

Optimization Research and Application for Practice in the Limestone Quarry Based on Genetic Algorithms-adaptiveNetwork-based Fuzzy Inference 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    

the 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: Various simulation tools were used to develop an effective intelligent system to predict the effectsincluding a back-propagation neural network (BPNN), a radial basis function neural network (RBFNN) and an adaptive-network-basedfuzzy inference system (ANFIS) were tested and their results were compared to determine the best predictive

Keywords: oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

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 parameterswith frequent disturbances in load model and power input of a wind-diesel based isolated hybrid power systemIn literature, proportional integral (PI) based controller constants are optimized for voltage stabilityAn ANFIS tuned constants of a STATCOM controller for controlling the reactive power requirement to stabilizeloop load interaction with the system.

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

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)    

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 78-81

Abstract:

According to the fuzzy theory and practical experience, the authors propose a rules autoconditioningfuzzy controller, whose dynamic performance and stability are all prior to the conventional PID controllerand the basic fuzzy controller.It is also shown that the controller has good disturbance rejection properties and insensitivity to plant

Keywords: fuzzy controller     rules auto-tuning     adaptive    

Impact of wind power generating system integration on frequency stabilization in multi-area power systemwith fuzzy logic controller in deregulated environment

Y. K. BHATESHVAR,H. D. MATHUR,H. SIGUERDIDJANE

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 7-21 doi: 10.1007/s11708-014-0338-2

Abstract: Among the available options for renewable energy integration in existing power system, wind power isThe major constraint of wind power generating system (WPGS) is that it does not provide inertial supportactive power support in a two area restructured power system.The control scheme uses fuzzy logic based design and takes frequency deviation as input to provide quickVariation of load conditions are also analyzed in simulation studies for the same power system model

Keywords: two area power system     automatic generation control     wind power generating system (WPGS)     deregulated environment     fuzzy logic controller (FLC)    

Title Author Date Type Operation

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

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptiveneuro-fuzzy inference system

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

RETRACTED ARTICLE: Dynamic stability enhancement of interconnected multi-source power systems using hierarchicalANFIS controller-TCSC based on multi-objective PSO

Ali Darvish FALEHI,Ali MOSALLANEJAD

Journal Article

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

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

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

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

Adaptive network fuzzy inference system based navigation controller for mobile robot

Panati SUBBASH, Kil To CHONG

Journal Article

Optimization Research and Application for Practice in the Limestone Quarry Based on Genetic Algorithms-adaptiveNetwork-based Fuzzy Inference System

Yang Shijiao,Dai Jianyong,Zeng Sheng

Journal Article

the 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

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

Nitin SAXENA,Ashwani KUMAR

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

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Journal Article

Impact of wind power generating system integration on frequency stabilization in multi-area power systemwith fuzzy logic controller in deregulated environment

Y. K. BHATESHVAR,H. D. MATHUR,H. SIGUERDIDJANE

Journal Article