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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: voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzyFinally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process

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

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Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract:

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presentedto solve fuzzy edge detection problems in image processing.amplitude is adjusted step by step, which greatly improves the colony diversity of the immune evolution algorithmThe experimental results show that the method not only can correctly detect the fuzzy edge and exiguousedge but can evidently improve the searching efficiency of fuzzy clustering algorithm based on IEA.

Keywords： disturbance amplitude     disturbance     diversity     generation     processing    

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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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Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 49-55 doi: 10.1007/s11708-012-0217-7

Abstract: DFIG are strictly controlled at a required level, which, in this paper, is realized with an optimized fuzzy

Keywords： doubly-fed induction generator (DFIG)     vector control     fuzzy logic controller     optimization     power factor    

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Semi-active fuzzy control of Lali Cable-Stayed Bridge using MR dampers under seismic excitation

Sajad JAVADINASAB HORMOZABAD, Amir K. GHORBANI-TANHA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 706-721 doi: 10.1007/s11709-020-0612-9

Abstract: In the present study, several semi-active Fuzzy Control Algorithms (FCAs) for vibration mitigation ofTwo innovative fuzzy rule-bases are introduced.A total of six different fuzzy rule-bases are utilized.The performance of fuzzy control systems is also compared with a sky-hook and a passive-on system.Therefore, the results can be regarded as a general guide to design semi-active fuzzy control systems

Keywords： semi-active control     Fuzzy Control Algorithm     cable-stayed bridge     MR damper     Lali Bridge    

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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: In order to capture the maximum power, a hybrid fuzzy-neural maximum power point tracking (MPPT) methodThe 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    

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Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: In this study, an adaptive neuro-fuzzy inference system is hybridized with several evolutionary approaches, including the ant colony optimization, genetic algorithm, teaching-learning-based optimization, biogeographical-basedBased on the achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization

Keywords： long contraction scour     prediction     uncertainty     ANFIS model     meta-heuristic algorithm    

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A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction Research Article

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1574-1590 doi: 10.1631/FITEE.2200334

Abstract: This is to improve the efficiency and accuracy of HS algorithm optimization.Three theorems are proved to reveal HS-CS as a meta-heuristic algorithm.verification, HS-CS is used to optimize the back propagation neural network (BPNN) to extract weighted fuzzyresults show that the BPNN optimized by HS-CS can obtain higher classification accuracy of weighted fuzzy

Keywords： Harmony search algorithm     Cuckoo search algorithm     Global convergence     Function optimization     Weightedfuzzy production rule extraction    

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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 fuzzy neural network; the diagnosis method based on the sequential inference and fuzzy neural networkcertainty factor model; and the diagnosis method on the basis of the adaptive filtering technique and fuzzy

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

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Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 168-174 doi: 10.1007/s11465-007-0028-4

Abstract: implement the force control of robot manipulators in an unknown environment, a control strategy based on fuzzyand rapidly in the cases that the contact surface is unknown, the contact stiffness changes, and the fuzzyforce control algorithm has high adaptability to the unknown environment.

Keywords： predictive     tracking     corresponding     stiffness     algorithm    

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Research on An On-line Tracking Self-learning Algorithm for Fuzzy Basis Function Neural Network

Xu Feiyun,Zhong Binglin,Huang Ren

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 48-53

Abstract:

An on-line tracking self-learning algorithm for fuzzy basis function Meanwhile,  a recursive algorithm for computing the sample mean and covariance matrix with

Keywords： fuzzy basis function     self-learning     fault diagnosis    

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Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 81-84

Abstract: Based on the fuzzy pattern recognition, data are sorted and further classified, with cooperative clusteringalgorithm.

Keywords： fuzzy pattern recognition     nearest neighbor(NN)     cooperative clustering algorithm(CCA)     slurry concentration    

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Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride Addition Based on Augmented Fuzzy Article

Weichao Yue、 Weihua Gui、 Xiaofang Chen、 Zhaohui Zeng、 Yongfang Xie

Engineering 2019, Volume 5, Issue 6,   Pages 1060-1076 doi: 10.1016/j.eng.2019.10.005

Abstract: In this work, a data and knowledge collaboration strategy for MDAAA based on augmented fuzzy cognitiveIn the proposed strategy, the fuzzy rules are extracted by extended fuzzy k-means (EFKM) andfuzzy decision trees, which are used to amend the initial structure provided by experts.The state transition algorithm (STA) is introduced to detect weight matrices that lead the FCMs to desiredthan when using the differential Hebbian learning (DHL), particle swarm optimization (PSO), or genetic algorithm

Keywords： AlF 3 addition     Fuzzy cognitive maps     Learning algorithms     State transition algorithm     Fuzzy    

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Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 474-488 doi: 10.1007/s11465-019-0560-z

Abstract: operation characteristics of remanufacturing, we used the crankshaft as an illustrative case and built a fuzzyAn improved adaptive genetic algorithm was developed by using the hormone modulation mechanism to dealThe algorithm demonstrated superior performance in terms of optimal value, run time, and convergent generation

Keywords： remanufacturing scheduling     adaptive genetic algorithm     energy efficiency     sustainable remanufacturing     hormone    

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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    

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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

Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Journal Article

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

Journal Article

Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Journal Article

Semi-active fuzzy control of Lali Cable-Stayed Bridge using MR dampers under seismic excitation

Sajad JAVADINASAB HORMOZABAD, Amir K. GHORBANI-TANHA

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

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Journal Article

A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Journal Article

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Journal Article

Research on An On-line Tracking Self-learning Algorithm for Fuzzy Basis Function Neural Network

Xu Feiyun,Zhong Binglin,Huang Ren

Journal Article

Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Journal Article

Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride Addition Based on Augmented Fuzzy

Weichao Yue、 Weihua Gui、 Xiaofang Chen、 Zhaohui Zeng、 Yongfang Xie

Journal Article

Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

Journal Article

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article