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Technical and Economic Parameter Optimization Research and Application for Practice in the Limestone Quarry Basedon Genetic Algorithms-adaptive Network-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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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 logicbased navigation controller.obtained 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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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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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) evolutionaryThe performance of the proposed predictive models is evaluated based on the mean performance (MP), which

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

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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: logic, 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),and neural networks based direct torque control (NN-DTC), the proposed ANFIS-based scheme optimizes the

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 Y1and Y2 based on easily determined 13 parameters of rigid pavements.Therefore, the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters

Keywords： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

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Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric

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 (performance of the constructed models, using appropriate statistical indices, shows clearly that a PCA-based

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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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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A neural network-based production process modeling and variable importance analysis approach in corn

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3,   Pages 358-371 doi: 10.1007/s11705-022-2190-y

Abstract: However, it’s hard to upgrade or optimize the process based on mechanism unit operation models due toIn this paper, a neural network-based production process modeling and variable importance analysis approach/recurrent neural network based modeling and extended weights connection method.established model, dextrose equivalent value is selected as the output, and 654 sites from the DCS systemwork are of significant aid in process simulation model with high accuracy and process optimization based

Keywords： big data     corn to sugar factory     neural network     variable importance analysis    

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Molecular network-based intervention brings us closer to ending the HIV pandemic

Xiaoxu Han, Bin Zhao, Minghui An, Ping Zhong, Hong Shang

Frontiers of Medicine 2020, Volume 14, Issue 2,   Pages 136-148 doi: 10.1007/s11684-020-0756-y

Abstract: However, the HIV transmission network is usually difficult to determine.HIV molecular networks can be determined by phylogenetic approach, genetic distance-based approach, andSimulation and retrospective studies have demonstrated that these molecular network-based interventionsHowever, we still need to address several challenges to improve the practice of molecular network-guided

Keywords： human immunodeficiency virus type 1     molecular cluster     transmission cluster     risk network     targeted intervention    

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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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Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 81-89 doi: 10.1007/s11708-014-0295-9

Abstract: In this paper a fuzzy logic (FL) based model reference adaptive system (MRAS) speed observer for highThe error vector computation is made based on the rotor-flux derived from the reference and the adaptiveThe error signal is processed in the proposed fuzzy logic controller (FLC) for speed adaptation.For powering the drive system, a standalone photovoltaic (PV) energy source is used.The complete drive system is modeled in MATLAB/Simulink and the performance is analyzed for different

Keywords： induction motor drive     fuzzy logic (FL) control     model reference adaptive system (MRAS)     photovoltaic (PV    

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Continuous path control of robot arm in network-based remote control

Zheng Hua, Cong Shuang

Strategic Study of CAE 2008, Volume 10, Issue 10,   Pages 91-95

Abstract:

By discussing the drawbacks of a 2-dof robot arm remote control basedpoint-to-point control, the continuous path control method is applied to the joint-coordinate-space-basedserial robot remote control system.It's verified that better accuracy in remote system can be obtained by means of continuous path control

Keywords： remote control     continuous path control     robot arm system    

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Title Author Date Type Operation

Technical and Economic Parameter Optimization Research and Application for Practice in the Limestone Quarry Basedon Genetic Algorithms-adaptive Network-based Fuzzy Inference System

Yang Shijiao,Dai Jianyong,Zeng Sheng

Journal Article

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

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

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

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

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

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

A neural network-based production process modeling and variable importance analysis approach in corn

Journal Article

Molecular network-based intervention brings us closer to ending the HIV pandemic

Xiaoxu Han, Bin Zhao, Minghui An, Ping Zhong, Hong Shang

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

Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

Journal Article

Continuous path control of robot arm in network-based remote control

Zheng Hua, Cong Shuang

Journal Article