搜索页_ Adaptive neuro-fuzzy inference system (ANFIS)

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1.A Comparative Study of Artificial Neural Networks, Support Vector Machines and Adaptive Neuro Fuzzy Inference System for Forecasting Groundwater Levels near Lake Okeechobee, Florida

作者：Yicheng Gong ; Yongxiang Zhang ; Shuangshuang Lan ; Huan Wang

关键词：Groundwater level ; Artificial neural network ; Support vector machine ; Adaptive neuro fuzzy inference system

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

2.Estimation of Wind-Driven Coastal Waves Near a Mangrove Forest Using Adaptive Neuro-Fuzzy Inference System

作者：Roslan Hashim ; Chandrabhushan Roy ; Shahaboddin Shamshirband…

关键词：Ocean ; Wave estimation ; ANFIS ; Wave height ; Coastal engineering

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

3.Improving Rainfall Forecasting Efficiency Using Modified Adaptive Neuro-Fuzzy Inference System (MANFIS)

作者：Seyed Ahmad Akrami (1) Ahmed El-Shafie (1) Othman Jaafar (1)

关键词：Adaptive neuro ; fuzzy Inference systems (ANFIS) ; Fuzzy rules ; Rainfall prediction ; Modified ANFIS ; Fitting parameters ; Converges of iterations

刊名：Water Resources Management

年：2013

4.Comparison of Two Different Adaptive Neuro-Fuzzy Inference Systems in Modelling Daily Reference Evapotranspiration

作者：Ozgur Kisi (1) Mohammad Zounemat-Kermani (2)

关键词：Reference evapotranspiration ; Modeling ; Missing data ; Neuro ; fuzzy models ; Empirical models

刊名：Water Resources Management

年：2014

5.Prediction the Groundwater Level of Bastam Plain (Iran) by Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS)

作者：Samad Emamgholizadeh (1) Khadije Moslemi (1) Gholamhosein Karami (1)

关键词：Groundwater level ; Bastam plain ; Adaptive neuro ; fuzzy inference system ; Artificial neural network

刊名：Water Resources Management

年：2014

6.Using of hybrid fuzzy models to predict spatiotemporal groundwater quality parameters

作者：Amir Jalalkamali

关键词：Groundwater quality ; GA ; PSO ; Neuro ; Fuzzy ; Spatiotemporal

刊名：Earth Science Informatics

出版者：Springer Berlin Heidelberg

年：2015

7.Long-term streamflow forecasts by Adaptive Neuro-Fuzzy Inference System using satellite images and K-fold cross-validation (Case study: Dez, Iran)

作者：Seyed Reza Esmaeelzadeh ; Arash Adib ; Soroosh Alahdin

关键词：ANFIS ; ANN ; cross validation ; satellite image ; streamflow forecast ; sub ; basins

刊名：KSCE Journal of Civil Engineering

出版者：Korean Society of Civil Engineers

年：2015

8.Islanding detection for inverter-based DG coupled with using an adaptive neuro-fuzzy inference system

作者：Farid Hashemia ; f.hashemi@srbiau.ac.ir ; Noradin Ghadimib ; noradin.ghadimi@gmail.com ; Behrooz Sobhania ; b.sobhani@gmail.com

关键词：Distributed generation ; Islanding detection ; Non-detection zone ; Adaptive neuro fuzzy inference system ; Fuzzy subtractive clustering

刊名：International Journal of Electrical Power and Energy Systems

年：2013

9.Streamflow Prediction of Karuvannur River Basin Using ANFIS, ANN and MNLR Models

作者：K. Anusreea ; anusree.k13@gmail.com" class="auth_mail" title="E-mail the corresponding author ; K.O. Vargheseb

关键词：Neural networks ; Fuzzy inference system ; Multiple Nonlinear Regression ; Hydrological modeling.

刊名：Procedia Technology

年：2016

10.River Water Prediction Modeling Using Neural Networks, Fuzzy and Wavelet Coupled Model

作者：Kulwinder Singh Parmar (1) Rashmi Bhardwaj (1)

关键词：Water management ; Hydrological model ; Water quality prediction ; Neural network ; Fuzzy logic ; Daubechies wavelet

刊名：Water Resources Management

年：2015

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