DOI:​10.1016/J.APPLTHERMALENG.2015.11.081
Corpus ID: 113288267
Using ANFIS for selection of more relevant parameters to predict dew point temperature
Kasra Mohammadi, Shahaboddin Shamshirband, +2 authors Zulkefli Mansor
Published 2016
Environmental Science

Applied Thermal Engineering
Abstract In this research work, for the first time, the adaptive neuro fuzzy inference system (ANFIS) is employed to propose an approach for identifying the most significant parameters for prediction… Expand
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35 Citations
Background Citations
5
Methods Citations
6
35 Citations
Prediction of Daily Dewpoint Temperature Using a Model Combining the Support Vector Machine with Firefly Algorithm
Eiman Tamah Al-Shammari, Kasra Mohammadi, +4 authors D. Petković
Engineering
2016
AbstractIn this research work, a hybrid approach of integrating a support vector machine (SVM) with firefly algorithm (FFA) is proposed to predict daily dewpoint temperature (Tdew). The main aim of… Expand
21 Citations
Integration of ANFIS model and forward selection method for air quality forecasting
Afsaneh Ghasemi, J. Amanollahi
Environmental Science
Air Quality, Atmosphere & Health
2018
In the last decade, air pollution in the city of Kermanshah has become a major concern. In this study, adaptive neuro-fuzzy inference system (ANFIS) was developed to predict five daily air pollutants… Expand
10 Citations
On the reliability of soft computing methods in the estimation of dew point temperature: The case of arid regions of Iran
Nasrin Fathollahzadeh Attar, K. Khalili, J. Behmanesh, N. Khanmohammadi
Mathematics, Computer Science
Comput. Electron. Agric.
2018
TLDR
It is found that the MARS model agrees well with observed data in predicting the Tdew when compared with other used methods. Expand
18 Citations
Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms
Sujay Raghavendra Naganna, P. Deka, M. Ghorbani, S. M. Biazar, N. Al-Ansari, Z. Yaseen
Geology
Water

2019
Dew point temperature (DPT) is known to fluctuate in space and time regardless of the climatic zone considered. The accurate estimation of the DPT is highly significant for various applications of… Expand
39 Citations
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A hybrid computational intelligence method for predicting dew point temperature
Mohsen Amirmojahedi, Kasra Mohammadi, Shahaboddin Shamshirband, Amir Seyed Danesh, A. Mostafaeipour, A. Kamsin
GeologyEnvironmental Earth Sciences
2016
Recently, utilization of hybrid models has gained remarkable attention as they take the advantage of specific nature of each technique to enhance the precision and reliability of the predictions. In… Expand
19 Citations
Estimation of daily dew point temperature by using bat algorithm optimization based extreme learning machine
Jianhua Dong, Lifeng Wu, +4 authors Qi-liang Yang
Mathematics
2020
Abstract Capabilities of the bat algorithm optimized extreme learning machine (Bat-ELM) model for dew point temperature (Tdew) estimation were evaluated in this study, in comparison with the… Expand
9 Citations
Application of gene expression programming to predict daily dew point temperature
S. Mehdizadeh, J. Behmanesh, K. Khalili
Mathematics
2017
Abstract In the present research, gene expression programming (GEP) was used to estimate daily dew point temperature (Tdew) in Tabriz and Urmia which are located in the northwest of Iran, using the… Expand
30 Citations
Modelling monthly mean air temperature using artificial neural network, adaptive neuro-fuzzy inference system and support vector regression methods: A case of study for Turkey
Emre Yakut, Seval Süzülmüş
Medicine, Mathematics
Network

2020
TLDR
Developing models for the prediction of monthly mean air temperature values in Turkey using ANN, ANFIS and SVMr methods using monthly data derived from eight stations of the TSMS for the 1963–2015 period was aimed at. Expand
4 Citations
Improving Weather Forecasting Using De-Noising with Maximal Overlap Discrete Wavelet Transform and GA Based Neuro-Fuzzy Controller
Ayse Tugba Dosdogru
Computer ScienceInt. J. Artif. Intell. Tools
2019
Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is one of the most important neuro-fuzzy systems. ANFIS can be successfully applied to different real-world problems. However, it is difficult to create… Expand
1 Citation
Temperature Estimation for Photovoltaic Array Using an Adaptive Neuro Fuzzy Inference System
A. Bassam, O. M. Tzuc, M. A. E. Soberanis, L. J. Ricalde, B. Cruz
Engineering
2017
Module temperature is an important parameter of photovoltaic energy systems since their performance is affected by its variation. Several cooling controllers require a precise estimation of module… Expand
20 Citations
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References
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Determining the most important variables for diffuse solar radiation prediction using adaptive neuro-fuzzy methodology; case study: City of Kerman, Iran
Kasra Mohammadi, Shahaboddin Shamshirband, D. Petković, H. Khorasanizadeh
Mathematics
2016
Identifying the most relevant variables for diffuse solar radiation prediction is of indispensable importance. In this study, the adaptive neuro-fuzzy inference system (ANFIS) is applied to select… Expand
52 Citations
Evaluation of the most influential parameters of heat load in district heating systems
D. Petković, M. Protić, Shahaboddin Shamshirband, S. Akib, Miomir Raos, D. Markovic
Engineering
2015
Abstract The aim of this study is to investigate the potential of soft computing methods for selecting the most relevant variables for predictive models of consumers’ heat load in district heating… Expand
19 Citations
Determination of the most influential weather parameters on reference evapotranspiration by adaptive neuro-fuzzy methodology
D. Petković, M. Gocić, +4 authors H. Bonakdari
Mathematics, Computer Science
Comput. Electron. Agric.
2015
TLDR
The obtained results indicate that among the input variables sunshine hours, actual vapor pressure and minimum air temperature, are the most influential for ET0 estimation. Expand
57 Citations
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Daily soil temperature modeling using neuro-fuzzy approach
P. H. Talaee
Environmental Science
2014
Soil temperature is an important meteorological parameter which influences a number of processes in agriculture, hydrology, and environment. However, soil temperature records are not routinely… Expand
21 Citations
Adaptation of ANFIS model to assess thermal comfort of an urban square in moderate and dry climate
S. Kariminia, S. Motamedi, Shahaboddin Shamshirband, D. Petković, Chandrabhushan Roy, R. Hashim
Mathematics
Stochastic Environmental Research and Risk Assessment
2015
Attractiveness of the open urban spaces, such as plazas or squares, depends on the visitor’s thermal comfort. In this respect, it is important to assess the environment of such open space along with… Expand
10 Citations
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An adaptive neuro-fuzzy inference system model for predicting the performance of a refrigeration system with a cooling tower
M. Hosoz, H. Ertunç, H. Bulgurcu
Environmental Science, Computer Science
Expert Syst. Appl.
2011
TLDR
It was found that the ANFIS approach can be used successfully for predicting the performance of refrigeration systems with cooling towers with mean relative errors in the range of 0.83–6.24%. Expand
89 Citations
PDF
Estimation of daily dew point temperature using genetic programming and neural networks approaches
J. Shiri, Sungwon Kim, O. Kisi
Environmental Science
2014
The present study investigates the ability of two different artificial neural network (ANN) models and gene expression programming (GEP) technique for estimating daily dew point temperature by using… Expand
48 Citations
PDF
Estimation of mean monthly air temperatures in Turkey
Murat Cobaner, H. Citakoglu, O. Kisi, T. Haktanir
2014
We model monthly temperature values by MLR, ANN and ANFIS models.Input variables are latitude, longitude, altitude and the month numbers.ANFIS model is found to perform better than the ANN and MLR… Expand
32 Citations
Extreme learning machine based prediction of daily dew point temperature
Kasra Mohammadi, Shahaboddin Shamshirband, S. Motamedi, D. Petković, R. Hashim, M. Gocić
Engineering, Computer Science
Comput. Electron. Agric.
2015
TLDR
The study results convincingly advocate that ELM can be employed as an efficient method to predict daily dew point temperature with much higher precision than the SVM and ANN techniques. Expand
70 Citations
PDF
Estimation of Monthly Mean Reference Evapotranspiration in Turkey
H. Citakoglu, Murat Cobaner, T. Haktanir, O. Kisi
Mathematics
Water Resources Management

2013
Monthly mean reference evapotranspiration (ET0) is estimated using adaptive network based fuzzy inference system (ANFIS) and artificial neural network (ANN) models. Various combinations of long-term… Expand
57 Citations
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