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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    

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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 logicobtained by the proposed method with reference mobile robot navigation controllers, such as neural network, fuzzy logic, and ANFIS.

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

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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) evolutionary

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

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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 effectsSeveral simulation systems including a back-propagation neural network (BPNN), a radial basis functionneural network (RBFNN) and an adaptive-network-based fuzzy inference system (ANFIS) were tested and

Keywords： oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

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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    

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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).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    

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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    

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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 inferencethe performance of ANFIS with other types of soft computing techniques, multilayer perceptron neural network

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: principal component analysis (PCA) is fused with forward stepwise regression (SWR), artificial neural network(ANN), adaptive neuro-fuzzy inference system (ANFIS), and the least squares support vector machine (

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

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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 data are optimized by GA and then, these optimum values are used in network training.

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

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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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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: This paper reports several intelligent diagnostic approaches based on artificial neural network and fuzzyalgorithm for plant machinery, such as the diagnosis method using the wavelet transform, rough sets, and fuzzyneural network; the diagnosis method based on the sequential inference and fuzzy neural network; theby the possibility theory and certainty factor model; and the diagnosis method on the basis of the adaptivefiltering technique and fuzzy neural network.

Keywords： intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

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Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear Article

Xiao-yu ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1331-1343 doi: 10.1631/FITEE.1500318

Abstract: Direct adaptive fuzzy sliding mode control design for discrete non-affine nonlinear systems is presentedTo obtain adaptiveness and eliminate chattering of sliding mode control, a dynamic fuzzy logical systemThe overall system is adaptive, asymptotically stable, and chattering-free.

Keywords： Nonlinear system     Discrete system     Dynamic fuzzy logical system     Direct adaptive     Sliding mode control    

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Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system

Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 32-47 doi: 10.1007/s42524-019-0082-8

Abstract: Therefore, this study adopted project network theory and modeled innovation diffusion in megaprojectsIn addition, system dynamics and fuzzy systems were combined to interpret experts’ subject options asquantitative coefficients of the project network model.Three typical network structures, namely, a traditional megaproject procurement organization (TMO), theAssessment of project network productivity suggested that the projectivity of the TMO was insensitive

Keywords： megaproject     innovation adoption     project network     system dynamic     fuzzy logic    

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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

Adaptive network fuzzy inference system based navigation controller for mobile robot

Panati SUBBASH, Kil To CHONG

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

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

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

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

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Journal Article

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

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

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

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Journal Article

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

Tan Li,Liu Jin,Mei Liting

Journal Article

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear

Xiao-yu ZHANG

Journal Article

Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system

Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN

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