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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-fuzzy

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

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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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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

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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 inferenceCompared 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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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: The aim of this paper is to simulate and control a grid-connected PV source by using an adaptive neuro-fuzzy

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

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Prediction of cost and emission from Indian coal-fired power plants with CO

Naushita SHARMA, Udayan SINGH, Siba Sankar MAHAPATRA

Frontiers in Energy 2019, Volume 13, Issue 1, Pages 149-162 doi: 10.1007/s11708-017-0482-6

Abstract: In this paper, two artificial intelligence (AI) techniques—adaptive network based fuzzy inference system

Keywords： carbon capture and storage power plants artificial intelligence genetic programming neuro fuzzy

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

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 parameters

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

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An ANFIS-based Approach for Predicting MiningInduced Surface Subsidence

Ding Dexin,Zhang Zhijun,Bi Zhongwei

Strategic Study of Chinese Academy of Engineering 2007, Volume 9, Issue 1, Pages 33-39

Abstract: practical examples of mining induced surface subsidence,integrated these examples by using adaptive neuro-fuzzy

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

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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-fuzzy

Keywords： Principal component analysis (PCA) Forward stepwise regression Artificial neural network (ANN) Adaptive neuro-fuzzy

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Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of Chinese Academy of Engineering 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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An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 163-182 doi: 10.1007/s42524-019-0017-4

Abstract: Due to the characteristics of hesitant fuzzy sets (HFSs), one hesitant fuzzy element (HFE), which isIn this paper, we elaborate on hesitant fuzzy GDM from these three aspects.The first aspect is mainly about the introduction of HFSs, HFPRs and some hesitant fuzzy aggregationThe second aspect describes the consensus process under hesitant fuzzy environment, which is an importantIn the third aspect, we introduce seven hesitant fuzzy GDM approaches, which can be applied in GDM under

Keywords： hesitant fuzzy set hesitant fuzzy preference relation group decision-making

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Instrumented toys for assessing spatial cognition in infants

Domenico CAMPOLO, Fabrizio TAFFONI, Domenico FORMICA, Flavio KELLER, Eugenio GUGLIELMELLI

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1, Pages 82-88 doi: 10.1007/s11465-011-0208-0

Abstract:

This paper describes an interdisciplinary approach to the assessment on infants’ behavior, with a focus on the technology. The goal is an objective, quantitative analysis of concurrent maturation of sensory, motor and cognitive abilities in young children, in relation to the achievement of developmental milestones. An instrumented block-box toy specifically developed to assess the ability to insert objects into holes is presented. The functional specifications are derived from experimental protocols devised by neuroscientists to assess spatial cognition skills. Technological choices are emphasized with respect to ecological requirements. An ad hoc calibration procedure is also presented which is suitable to unstructured environments. Finally, preliminary tests carried out at a local day-care with 12–24 months old infants are presented which prove the in-field usability of the proposed technology.

Keywords： inertial-magnetic sensing in-field calibration neuro-developmental engineering ecological assessment

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A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3, Pages 546-558 doi: 10.1007/s11465-021-0639-1

Abstract: comprehensively studied the interactions among damage conditions and quality requirements that involve uncertain, fuzzyHence, this challenge in the context of uncertain, fuzzy information is undertaken in this paper, andThe solution is provided through an improved Takagi–Sugeno fuzzy neural network (T-S FNN) method.

Keywords： remanufacturing uncertain and fuzzy information process planning T-S FNN

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A Sort of Continued Fuzzy Operators and Its Application

Zhang Shiqiang

Strategic Study of Chinese Academy of Engineering 2003, Volume 5, Issue 9, Pages 27-31

Abstract:

A sort of continued fuzzy operators is given.from applied point of view, relation between the triangle norm operators most in use and the continued fuzzyA new fuzzy synthetic evaluation criterion and method are given.The new fuzzy synthetic evaluation criterion and method have some important characteristics as follows

Keywords： fuzzy mathematics fuzzy synthetic evaluation triangle norm operator continued fuzzy operators

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Model of Fuzzy Geometric Programming in Economical Power Supply Radius and Optimum Seeking Method

Cao Bingyuan

Strategic Study of Chinese Academy of Engineering 2001, Volume 3, Issue 3, Pages 52-55

Abstract: A fuzzy geometric programming model of power supply radius under the fuzzy environment, including problemsof soft constraints and fuzzy functions with fuzzy coefficients, is built in order to determine the

Keywords： fuzzy geometric programming economic power supply radius optimum seeking transformer substations capacity

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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

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

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

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

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

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 cost and emission from Indian coal-fired power plants with CO

Naushita SHARMA, Udayan SINGH, Siba Sankar MAHAPATRA

Journal Article

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

Nitin SAXENA,Ashwani KUMAR

Journal Article

An ANFIS-based Approach for Predicting MiningInduced Surface Subsidence

Ding Dexin,Zhang Zhijun,Bi Zhongwei

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

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Journal Article

Instrumented toys for assessing spatial cognition in infants

Domenico CAMPOLO, Fabrizio TAFFONI, Domenico FORMICA, Flavio KELLER, Eugenio GUGLIELMELLI

Journal Article

A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Journal Article

A Sort of Continued Fuzzy Operators and Its Application

Zhang Shiqiang

Journal Article

Model of Fuzzy Geometric Programming in Economical Power Supply Radius and Optimum Seeking Method

Cao Bingyuan

Journal Article

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