Resource Type

Journal Article 591

Conference Videos 11

Year

2024 2

2023 39

2022 33

2021 44

2020 26

2019 37

2018 23

2017 26

2016 39

2015 32

2014 25

2013 21

2012 6

2011 21

2010 18

2009 16

2008 23

2007 37

2006 26

2005 22

open ︾

Keywords

fuzzy logic 7

game theory 7

Adaptive control 4

adaptive control 4

fuzzy comprehensive evaluation 4

modeling 4

wind turbine 4

Game theory 3

density functional theory 3

fuzzy control 3

fuzzy sets 3

multi-objective optimization 3

neural network 3

optimization 3

performance evaluation 3

vector control 3

ANFIS 2

Adaptive dynamic programming 2

Additive manufacturing 2

open ︾

Search scope:

排序： Display mode:

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 149-156 doi: 10.1007/s11465-010-0008-y

Abstract: In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presentedThe fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processesbased on the classification on the histograms, which shows that the fuzzy ART neural network can adaptivelythe same time, combined with spectrum analysis of the autoregressive model of quality parameters, the fuzzyART neural network can also be utilized to adaptively detect the abnormal patterns in the control chart

Keywords： statistical process control (SPC)     fuzzy adaptive resonance theory (ART)     histogram     control chart     time    

HTML PDF Collect

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    

HTML PDF Collect

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 isWe have viewed lots of relevant literature and divided the existing studies into three categories: theoryIn 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 aggregationIn 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    

HTML PDF Collect

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords： thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

An Ultracompact Spoof Surface Plasmon Sensing System for Adaptive and Accurate Detection of Gas Using

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

Engineering doi: 10.1016/j.eng.2023.05.013

Abstract: dielectric sensing has superior sensitivity and accuracy because the signal is measured from relative resonanceFor applications in the Internet of Things (IoT), accurate detection of resonance frequency shifts usingand made the detection adaptive to the target resonance.A microwave spoof surface plasmon resonator was designed to enhance sensitivity and resonance intensityThis study provides an ultracompact, accurate, adaptive, sensitive, and wireless solution for resonant

Keywords： Spoof surface plasmons     Internet of Things     Integrated sensing     Resonance tracking     Microwave sensing    

HTML PDF Collect

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: including a back-propagation neural network (BPNN), a radial basis function neural network (RBFNN) and an adaptive-network-basedfuzzy inference system (ANFIS) were tested and their results were compared to determine the best predictive

Keywords： oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

HTML PDF Collect

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    

HTML PDF Collect

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 logicby the proposed method with reference mobile robot navigation controllers, such as neural network, fuzzy

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

HTML PDF Collect

Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Basedon Inverse Reinforcement Learning Theory

Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,

Engineering doi: 10.1016/j.eng.2023.07.018

Abstract: Therefore, an anthropomorphic obstacle-avoidance trajectory planning strategy for adaptive driving scenariosexpectation feature-matching algorithm is proposed that uses maximum entropy inverse reinforcement learning theorythe optimization function, and an anthropomorphic obstacle avoidance trajectory planning strategy for adaptive

Keywords： Obstacle avoidance trajectory planning     Inverse reinforcement theory     Anthropomorphic     Adaptive driving    

HTML PDF Collect

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    

HTML PDF Collect

Fuzzy Modeling Theory on Production Scheduling： A Survey

Zhang Hong,Li qiqiang,Guo qingqiang,Zhang Peng,Gao Yuan

Strategic Study of CAE 2005, Volume 7, Issue 12,   Pages 92-102

Abstract:

A brief survey on classical modeling theory of production scheduling is presented in this paper.With the combination of fuzzy mathematical theory and classical modeling or intelligent methods, a briefsurvey on fuzzy modeling theory is also presented.

Keywords： production scheduling     fuzzy mathematics     fuzzy modeling    

HTML PDF Collect

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 systemStability of the sliding mode control is validated using the Lyapunov analysis theory.The overall system is adaptive, asymptotically stable, and chattering-free.

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

HTML PDF Collect

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 78-81

Abstract:

According to the fuzzy theory and practical experience, the authors propose a rules autoconditioningfuzzy controller, whose dynamic performance and stability are all prior to the conventional PID controllerand the basic fuzzy controller.

Keywords： fuzzy controller     rules auto-tuning     adaptive    

HTML PDF Collect

Title Author Date Type Operation

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Journal Article

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

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

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

Zeshui XU, Shen ZHANG

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

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

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

Journal Article

An Ultracompact Spoof Surface Plasmon Sensing System for Adaptive and Accurate Detection of Gas Using

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

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

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

Adaptive network fuzzy inference system based navigation controller for mobile robot

Panati SUBBASH, Kil To CHONG

Journal Article

Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Basedon Inverse Reinforcement Learning Theory

Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,

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

Fuzzy Modeling Theory on Production Scheduling： A Survey

Zhang Hong,Li qiqiang,Guo qingqiang,Zhang Peng,Gao Yuan

Journal Article

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

Xiao-yu ZHANG

Journal Article

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Journal Article