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

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    

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    

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    

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    

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    

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    

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    

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    

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management   Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: The integration of Neuro-Symbolic Computing (NSC), an emerging field that combines DL and symbolic reasoning

Keywords: advanced AI in construction     safety and quality inspection     Neuro-Symbolic Computing     Deep Learning    

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-fuzzy

Keywords: underground mining     mining induced surface subsidence     adaptive neurofuzzy inferencesystem    

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    

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    

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    

A Sort of Continued Fuzzy Operators and Its Application

Zhang Shiqiang

Strategic Study of CAE 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    

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    

Title Author Date Type Operation

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

Journal Article

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

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

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

A Sort of Continued Fuzzy Operators and Its Application

Zhang Shiqiang

Journal Article

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

Journal Article