Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Majid Abdollahzade"'
Autor:
Majid Abdollahzade, Reza Kazemi
Publikováno v:
IEEE Access, Vol 11, Pp 506-516 (2023)
The existing data-driven car-following models do not take structural and range variations of velocity and acceleration into account. This paper develops a new approach to address both structural and range variations in the car-following process throu
Externí odkaz:
https://doaj.org/article/e60d2167808643caac13cbdc31d13032
Publikováno v:
Energies, Vol 5, Iss 1, Pp 1-21 (2011)
This paper proposes a structure for long-term energy demand forecasting. The proposed hybrid approach, called HPLLNF, uses the local linear neuro-fuzzy (LLNF) model as the forecaster and utilizes the Hodrick–Prescott (HP) filter for extraction of t
Externí odkaz:
https://doaj.org/article/bcf3b489db31429a97d5e615fcc3a6c0
Publikováno v:
Risk analysis : an official publication of the Society for Risk AnalysisREFERENCES.
Having started since late 2019, COVID-19 has spread through far many nations around the globe. Not being known profoundly, the novel virus of the Coronaviruses family has already caused more than half a million deaths and put the lives of many more p
Publikováno v:
Pattern Analysis and Applications. 22:285-297
Thousands of people around the world are suffered from heart diseases; however, a considerable amount of them can have a chance of survival if there is an accurate and accessible diagnosis method. This paper introduces a new method for clustering of
Autor:
Reza Kazemi, Majid Abdollahzade
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 230:1767-1779
Because of various environmental factors (e.g. road type and traffic congestion) and the involvement of human action (e.g. drowsiness and consciousness level), the time-variant nature of the car-following process necessitates the use of adaptive mode
Autor:
Reza Kazemi, Majid Abdollahzade
Publikováno v:
ISA Transactions. 59:375-384
This paper proposes an Evolving Local Linear Neuro-Fuzzy Model for modeling and identification of nonlinear time-variant systems which change their nature and character over time. The proposed approach evolves through time to follow the structural ch
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 29:2047-2057
Precise cost prediction of new product development (NPD) projects has been a challenge for both academia and practitioners that often requires much effort and experience. In this paper, a combination of particle swarm optimization (PSO), cross valida
Publikováno v:
Information Sciences. 295:107-125
This paper develops a hybrid method for nonlinear and chaotic time series forecasting based on a local linear neuro-fuzzy model (LLNF) and optimized singular spectrum analysis (OSSA), termed OSSA–LLNF. Nonlinear and chaotic time series often exhibi
Publikováno v:
Recent Advances in Soft Computing ISBN: 9783319580876
Dust storm phenomena have vital effects on human life and are significant threat on ecosystem, climate and environmental conditions. Therefore, it may be of vital importance to develop an effective prediction system and mechanism to prevent it and/or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b556ffd0d04820f03bca828d7ba85805
https://doi.org/10.1007/978-3-319-58088-3_15
https://doi.org/10.1007/978-3-319-58088-3_15
Autor:
Majid Abdollahzade, Arash Miranian
Publikováno v:
International Journal of Energy and Statistics. :71-87
Integration of wind energy into electric power systems requires accurate and reliable forecasting of wind generation in the short-term horizon. This paper proposes a short-term wind power forecasting approach based on a LNF model and the HS optimizat