A new prediction model of solar radiation based on the neuro-fuzzy model

Parsaei, Mohammad Reza; Mollashahi, Hossein; Darvishan, Ayda; Mir, Mahdi; Simoes, Rolando

doi:10.1080/01430750.2018.1456964

Cited by 15 publications

(3 citation statements)

References 28 publications

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“…Fuzzy logic is of the most robust and interesting tools to encounter ambiguity and uncertainty. It was first introduced by Zadeh 37,38 versus crisp logic to evaluate and manipulate linguistic variables where the quantification of linguistic values is very hard and controversial. To exemplify, in crisp logic one may belong to the tall set or not, while in the fuzzy logic everyone is belong the tall set to some extent in the range of [0, 1].…”

Section: Type-2 Fuzzy Sets and Systems (T2fs)mentioning

confidence: 99%

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Parsaei

Boveiri

Javidan

et al. 2020

Int J Communication

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Summary Telemedicine is a new area based on the information and communication technology for collecting, storing, organizing, retrieving and exchanging medical information. One of the most important applications of telemedicine is indeed telesurgery in which an efficient telecommunication infrastructure between the surgery room and remote surgeons need to be established. One of the most important issues to be tackled in telesurgery is to find favorable links for routing as well as providing high Quality of Service (QoS). In this paper, an efficient model based on the hybridization of Type‐2 Fuzzy System (T2FS) and Cuckoo Optimization Algorithm (COA) over the Software Defined Networks (SDN) is proposed in order to achieve optimal and reliable routes for telesurgery application. Using T2FS, the fitness of the links is determined; then, a COA is conducted over the Constraint Shortest Path (CSP) problem to find the best routes. Delay is considered as a CSP problem which is satisfied by trying to find the paths with minimum cost. Due to the NP‐completeness of the CSP problem, an Enhanced COA (so‐called E‐COA) is proposed and utilized as a metaheuristic solver. To the best of our knowledge, this paper is the first SDN‐based communication model that applies both T2FS and E‐COA for assigning proper costs to the network's links, and solves the consequence CSP problem according to the QoS requirement for telesurgery. The model also recognizes and preserves the second‐best routes in order to keep the reliability for such a critical application. In addition to the simulations, the performance evaluation is also conducted on a real experimental scenario. Many comparisons are carried out between the proposed model and other conventional methods, and the evaluation study shows the superiority of the proposed model on all the three QoS‐related metrics, i.e. average end‐to‐end delay, packet loss ratio and PSNR.

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Section: Type-2 Fuzzy Sets and Systems (T2fs)mentioning

confidence: 99%

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Parsaei

Boveiri

Javidan

et al. 2020

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Conversely, the statistical approach improves the accuracy and minimizes the error of the model by managing the correlation mapping between input and output parameters (Ruhang 2016 ). Grey theory (Li and Zhang 2019 ), Regression Analysis (Doorga et al 2019 ), Fuzzy method (Reza Parsaei et al 2020 ), time-series method (Bigdeli et al 2017 ) and machine learning (ML) (Lai et al 2020 ) are the different categories of statistical approach. The regression Auto Regressive Integrated Moving Average (ARIMA) techniques (Shadab et al 2020 ), support vector regression (SVR) (Mohammadi and Aghashariatmadari 2020 ), Gaussian Progress Regression (GPR) (Sheng et al 2018 ) and ML approach based models proved to be best in the recent years in terms of forecasting (Gao et al 2020 ).…”

Section: Introductionmentioning

confidence: 99%

An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network

2021

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“…They predicted daily global solar radiation. The neuro -flou proposed by Parsaei et al [13], they improved the prediction model by using intelligent algorithms. Voyant et al [14] employed machine learning methods for the global prediction of solar radiation .…”

Section: Introductionmentioning

confidence: 99%