全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Jing Hu , Chun-sheng Wang , Min Wu ...
来源:[J].Neurocomputing(IF 1.634), 2015, Vol.151, pp.278-287Elsevier
摘要:Abstract(#br)A new way of removing electrooculogram (EOG) and electromyogram (EMG) artifacts from an electroencephalogram (EEG) was developed that involves combining an adaptive neural fuzzy inference system (ANFIS) and a functional link neural network (FLNN) to construct a filte...
作者:Paria Sefeedpari , Shahin Rafiee , Asadollah Akram ...
来源:[J].Computers and Electronics in Agriculture(IF 1.766), 2016, Vol.131, pp.10-19Elsevier
摘要:Abstract(#br)Adaptive neural fuzzy inference system (ANFIS) is an intelligent neuro-fuzzy technique used for modeling and control of uncertain systems. In this paper, we proposed an ANFIS based modeling approach (called MLANFIS) where the number of data pairs employed for trainin...
作者:Jalil Pazhoohan , Hossein Beiki , Morteza Esfandyari
来源:[J].International Journal of Minerals, Metallurgy, and Materials(IF 0.483), 2019, Vol.26 (5), pp.538-546Springer
摘要:... The adaptive neural fuzzy system (ANFIS) was also used to predict the copper recovery from flotation tailings. The back-propagation algorithm and least squares method were applied for the training of ANFIS. The validation data was also applied to evaluate the performance of t...
作者:D.M. Liu , G. Naadimuthu , E.S. Lee
来源:[J].Computers and Mathematics with Applications(IF 2.069), 2007, Vol.56 (5), pp.1322-1327Elsevier
摘要:Abstract(#br)The adaptive neural fuzzy inference system is used to simulate trajectory tracking in aircraft landing operations management. The advantage of the approach is that by using the linguistic representation ability of fuzzy sets and the learning ability of neural netw...
作者:G. Naadimuthu , D.M. Liu , E.S. Lee
来源:[J].Computers and Mathematics with Applications(IF 2.069), 2007, Vol.54 (11), pp.1395-1402Elsevier
摘要:Abstract(#br)The Adaptive Neural Fuzzy Inference System (ANFIS) is used to design two vague systems, namely thermal comfort and group technologies in production and operations management. Results show that both systems can be modeled successfully by the combined use of a fuzzy ap...
作者:Bahman Saedi , Seyed Davoud Mohammadi , Hossein Shahbazi
来源:[J].Arabian Journal of Geosciences(IF 0.74), 2018, Vol.11 (19), pp.1-14Springer
摘要:... Various methods, like multiple regression (MR) analysis, artificial neural network (ANN), and adaptive neural fuzzy inference system (ANFIS), were used to predict UCS and E during the modeling process. In this study, a total of 120 inputs and outputs were used. According to t...
作者:Rahmat-Allah Hooshmand , Habib Amooshahi , Moein Parastegari
来源:[J].International Journal of Electrical Power and Energy Systems(IF 3.432), 2013, Vol.45 (1), pp.313-324Elsevier
摘要:... In the first step of the method, a wavelet transform (WT) and an artificial neural network (ANN) are used for the primary forecasting of the load over the next 24 h. Inputs of this step are weather features (include the daily mean temperature, maximum temperature, mean hu...
作者:J. Zhang , Z.Y. He , S. Lin ...
来源:[J].International Journal of Electrical Power and Energy Systems(IF 3.432), 2013, Vol.49, pp.243-252Elsevier
摘要:Abstract(#br)Fault classification is very important for power system operation because it is the premise of fault analysis process. In this paper, an ANFIS ( Adaptive Neural Fuzzy Inference System ) based fault classification scheme in neutral non-effectively grounded distributio...
作者:Ali Gholami , Zong Tian
来源:[J].Transportation Planning and Technology(IF 0.427), 2017, Vol.40 (4), pp.505-522Taylor & Francis
摘要:... The purpose of this paper is to increase the accuracy of loop detector counts using Adaptive Neural Fuzzy Inference System (ANFIS) and Genetic Programming (GP) based on detector volume and occupancy. These methods do not need microscopic analysis and are easy to employ. Four ...
作者:Saugat Bhattacharyya , Debabrota Basu , Amit Konar ...
来源:[J].Robotics and Autonomous Systems(IF 1.156), 2015, Vol.68, pp.104-115Elsevier
摘要:... Though neural network based classifiers, like Adaptive Neural Fuzzy Inference System (ANFIS), act efficiently, to deal with the uncertainties involved in EEG signals, we have introduced interval type-2 fuzzy system in the fray to improve its uncertainty handling. Also, real...

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