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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: applied 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 observationsThen 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    

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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 collectedThe 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 less

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

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Prediction of 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 Y1The performance of the novel ANFIS-GA model was compared to that of other benchmark models, namely logisticThe results indicated that the ANFIS-GA model was the best at predicting Y1 (R = 0.945) and Y2Therefore, the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters

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

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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) evolutionarymodels, i.e., ANFIS–particle swarm optimization (PSO), ANFIS–ant colony, ANFIS–differential evolution(DE), and ANFIS–genetic algorithm to predict the foamed concrete compressive strength.– (O) (MP= 0.96), ANFIS–PSO– (C-O) (MP= 0.88), ANFIS–DE– (O–W–F) (MP= 0.94), and ANFIS–PSO– (C–O–W–F)ANFIS–PSO– (C–O) yielded the best accurate prediction of compressive strength with an MP value of 0.96

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

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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).and neural networks based direct torque control (NN-DTC), the proposed ANFIS-based scheme optimizes the

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

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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: In this research, discharge coefficient of weir-gate was predicated using adaptive neuro fuzzy inferencesystems (ANFIS).To 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.

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

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

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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 systemAn ANFIS tuned constants of a STATCOM controller for controlling the reactive power requirement to stabilizeloop load interaction with the system.Furthermore, a comparison of transient responses of IHPS is also presented when the system has only the

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

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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    

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

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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    

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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 logicAdditive white Gaussian noise has been added to the sensor readings and fed to the trained ANFIS controllerby the proposed method with reference mobile robot navigation controllers, such as neural network, fuzzylogic, and ANFIS.

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

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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: practical examples of mining induced surface subsidence,integrated these examples by using adaptive neuro-fuzzyinference system (ANFIS)and established an ANFIS-based approach for predicting mining induced surface

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

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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    

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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)    

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Title Author Date Type Operation

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

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

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

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Journal Article

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

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(ANFIS)

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

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

Nitin SAXENA,Ashwani KUMAR

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

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

Ali Darvish FALEHI,Ali MOSALLANEJAD

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

An ANFIS-based Approach for Predicting MiningInduced Surface Subsidence

Ding Dexin,Zhang Zhijun,Bi Zhongwei

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

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