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Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms by Ehteram M., Yenn Teo F., Najah Ahmed A., Dashti Latif S., Feng Huang Y., Abozweita O., Al-Ansari N., El-Shafie A.

Development Of Anfis Algorithm To Predict The Sheet Metal Cut Quality Of Carbon Dioxide Laser by Chong, Zhian Syn

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Application of the hybrid ANFIS models for long term wind power density prediction with extrapolation capability by Hossain, Monowar, Mekhilef, Saad, Afifi, Firdaus, Halabi, Laith M., Olatomiwa, Lanre, Seyedmahmoudian, Mehdi, Horan, Ben, Stojcevski, Alex

“…For this aim, standalone ANFIS, ANFIS-PSO, ANFIS-GA and ANFIS-DE prediction algorithm are developed in MATLAB platform. …”
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Application of adaptive network based fuzzy inference system for model reconstruction in reverse engineering by Nagajyothi, D.

“…Using an Adaptive Network based Fuzzy Inference System (ANFIS), the model reconstruction algorithm is designed. …”
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Short-Term Electricity Price Forecasting via Hybrid Backtracking Search Algorithm and ANFIS Approach by Pourdaryaei, Alireza, Mokhlis, Hazlie, Illias, Hazlee Azil, Kaboli, S. Hr. Aghay, Ahmad, Shameem

“…Through the combination of backtracking search algorithm (BSA) in learning process of ANFIS approach, a hybrid machine learning algorithm has been developed to forecast the electricity price more accurately. …”
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Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification by Hakim, S.J.S., Abdul Razak, H.

“…In this paper, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural networks (ANNs) techniques are developed and applied to identify damage in a model steel girder bridge using dynamic parameters. …”
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ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS by Toha, Siti Fauziah, Tokhi, M. O.

“…An adaptive neuro-fuzzy inference system (ANFIS) tuned by particle swarm optimization (PSO) algorithm is developed in search for non-parametric model for the TRMS. …”
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Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy by Ehteram M., Ahmed A.N., Fai C.M., Afan H.A., El-Shafie A.

ANFIS Identification Model of an Advanced Process Control (APC) Pilot Plant by Baloch, M A, Ismail, Idris, Hanif, NHHM, Baloch , Taj Mohamad

“…Adaptive Network Based Fuzzy Inference System (ANFIS) uses a hybrid computational algorithm for modeling systems. …”
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Design of intelligent control system and its application on fabricated conveyor belt grain dryer by Lutfy, Omar F.

“…The modeling performance achieved by this ANFIS model was then compared with those of an autoregressive with exogenous input (ARX) model and an artificial neural network (ANN) model, and the results clearly showed the superiority of the developed ANFIS model. …”
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Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series by Mohammadi B., Linh N.T.T., Pham Q.B., Ahmed A.N., Vojtekov� J., Guan Y., Abba S.I., El-Shafie A.

An intelligent framework for modelling and active vibration control of flexible structures by Mohd. Hashim, Siti Zaiton

“…Parametric and non-parametric modelling of such systems is investigated. Parametric approaches include linear parametric modelling of the system using recursive least squares (RLS) and genetic algorithms (GAS); and non-parametric approaches include multi-layered perceptron neural networks (MLP-NNs) and adaptive neuro-fuzzy inference systems (ANFIS) are employed. …”
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STUDY OF AMINE-BASED CO2 CAPTURE TECHNOLOGY USING ANFIS AND ANN by ARIFFIN, ARIFF SYAZWAN

“…The research is conducted to determine the best machine learning models that was developed using ANFIS and ANN algorithms for the study of CO2 capture technology using amine solvent.…”
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Techno-economic evaluation of off-grid hybrid renewable energy system for rural resort electrification in Malaysia / Monowar Hossain by Monowar, Hossain

“…For these purposes, the standalone ANFIS, ANFIS-PSO (particle swarm optimization),ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) prediction algorithms have been developed in MATLAB platform. …”
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Lambda-Max neuro-fuzzy system / Nurul Adzlyana Mohd. Saadon by Mohd. Saadon, Nurul Adzlyana

“…Accurate predictive modelling is highly essential and ANFIS has successfully been used as forecasting tool in various fields. …”
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Predicting sanitary landfill leachate generation in humid regions using ANFIS modeling by Abunama, Taher, Othman, Faridah, Younes, Mohammad K.

“…Large variations in these factors lead to complicated leachate modeling processes. The aims of this study are to determine the key elements contributing to leachate production and then develop an adaptive neural fuzzy inference system (ANFIS) model to predict leachate generation rates. …”
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Non-linear modelling and control of a conveyor-belt grain dryer utilizing neuro-fuzzy systems by Lutfy, Omar Farouq, Mohd Noor, Samsul Bahari, Marhaban, Mohammad Hamiruce, Abbas, Kassim Ali

“…Then, the input–output data collected from this experiment were presented to an ANFIS network to develop a control-oriented dryer model. …”
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Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques by Googhari, Shahram Karimi

“…The ANFIS models were built using the Fuzzy Toolbox of MATLAB. …”
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Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki by Mahmoud, Khaki

“…A novel investigation in modelling of groundwater level and quality using Artificial Neural Networks (ANNs) and Adaptive neuro fuzzy inference systems (ANFIS) methods was developed in the study area. …”
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Analysis of bubble departure and lift-off boiling model using computational intelligence techniques and hybrid algorithms by Quadros, Jaimon Dennis, Mogul, Yakub Iqbal, Ağbulut, Ümit, Gürel, Ali Etem, Khan, Sher Afghan, Akhtar, Mohammad Nishat, Jilte, Ravindra D., Asif, Mohammad

“…The bubble departure and lift-off boiling (BDL) model was studied using computational intelligence techniques and hybrid algorithms. …”
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