1. Perez P, Reyes J. An integrated neural network model for PM10 forecasting. Atmospheric Environment. 2006;40(16):2845-51.
2. Mwaiselage J, Moen B, Bråtveit M. Acute respiratory health effects among cement factory workers in Tanzania: an evaluation of a simple health surveillance tool. International archives of occupational and environmental health. 2006;79(1):49-56.
3. Huang CYYCC, Chiu HFCJF, Ko SJLYC. Effects of occupational dust exposure on the respiratory health of Portland cement workers. Journal of Toxicology and Environmental Health Part A. 1996;49(6):581-8.
4. Al‐Neaimi Y, Gomes J, Lloyd O. Respiratory illnesses and ventilatory function among workers at a cement factory in a rapidly developing country. Occupational Medicine. 2001;51(6):367-73.
5. Neghab M, Choobineh A. Work-related respiratory symptoms and ventilatory disorders among employees of a cement industry in Shiraz, Iran. Journal of occupational health. 2007;49(4):273-8.
6. Mwaiselage J, Bråtveit M, Moen B, Yost M. Variability in dust exposure in a cement factory in Tanzania. Annals of occupational hygiene. 2005;49(6):511-9.
7. Zeleke ZK, Moen BE, Bråtveit M. Cement dust exposure and acute lung function: a cross shift study. BMC pulmonary medicine. 2010;10(1):19.
8. Fell AKM, Notø H, Skogstad M, Nordby K-C, Eduard W, Svendsen MV, et al. A cross-shift study of lung function, exhaled nitric oxide and inflammatory markers in blood in Norwegian cement production workers. Occup Environ Med. 2011;68(11):799-805.
9. Laraqui CH, Laraqui OH, Rahhali A, Tripodi D, Caubet A, Belamallem I, et al. Respiratory symptoms and ventilatory disorders among a group of cement workers in Morocco. Revue des maladies respiratoires. 2002;19(2 Pt1):183-9.
10. Abrons H, Petersen M, Sanderson W, Engelberg A, Harber P. Symptoms, ventilatory function, and environmental exposures in Portland cement workers. Occupational and Environmental Medicine. 1988;45(6):368-75.
11. Rasmussen F, Borchsenius L, Holstein B, Sølvsteen P. Lung function and long-term exposure to cement dust. Scandinavian journal of respiratory diseases. 1977;58(5):252-64.
12. Mwaiselage J, Bråtveit M, Moen B, Yost M. Variability in dust exposure in a cement factory in Tanzania. Annals of occupational hygiene. 2005;49(6):511-9.
13. Baroutian S, Mohebbi A, Goharrizi AS. Measuring and modeling particulate dispersion: A case study of Kerman Cement Plant. Journal of hazardous materials. 2006;136(3):468-74.
14. Arditsoglou A, Samara C. Levels of total suspended particulate matter and major trace elements in Kosovo: a source identification and apportionment study. Chemosphere. 2005;59(5):669-78.
15. Abdul-Wahab SA. Impact of fugitive dust emissions from cement plants on nearby communities. Ecological Modelling. 2006;195(3-4):338-48.
16. Ehrlich C, Noll G, Kalkoff W-D, Baumbach G, Dreiseidler A. PM10, PM2. 5 and PM1. 0—emissions from industrial plants—results from measurement programmes in Germany. Atmospheric Environment. 2007;41(29):6236-54.
17. Bignal KL, Langridge S, Zhou JL. Release of polycyclic aromatic hydrocarbons, carbon monoxide and particulate matter from biomass combustion in a wood-fired boiler under varying boiler conditions. Atmospheric Environment. 2008;42(39):8863-71.
18. Lee SW, Herage T, He I, Young B. Particulate characteristics data for the management of PM2. 5 emissions from stationary combustion sources. Powder Technology. 2008;180(1-2):145-50.
19. Eslamloueyan R, Khademi M. Estimation of thermal conductivity of pure gases by using artificial neural networks. International Journal of Thermal Sciences. 2009;48(6):1094-101.
20. McKendry IG. Evaluation of artificial neural networks for fine particulate pollution (PM10 and PM2. 5) forecasting. Journal of the Air & Waste Management Association. 2002;52(9):1096-101.
21. Marengo E, Bobba M, Robotti E, Liparota MC. Modeling of the polluting emissions from a cement production plant by partial least-squares, principal component regression, and artificial neural networks. Environmental Science & Technology. 2006 Jan 1;40(1):272-80.
22. Mohebbi A, Baroutian S. Estimation of particle concentration emitted from the stacks of Kerman Cement Plant using artificial neural networks. Chemical Engineering Communications. 2008;195(7):821-33.
23. Haykin S, Network N. A comprehensive foundation. Neural networks. 2004;2(2004):41.
24. Zarghi H, Ezi J. Comparison of regression models and artificial neural networks in predicting the yield of egg laying hens. Iranian Journal of Animal Science Research. 2015; 7(1): 58-65.
25. Theodoridis S, Koutroumbas K. Pattern Recognition & Matlab Intro: Academic Press, Inc.; 2010.
26. Iran Environmental Protection Agency. Decree on the determination of the emission limit of air pollutants. 1397; [26 screens] Availabel at: URL: http://www.dastour.ir/brows/?lid=420073. Accessed October 1, 2018.
27. Alizadehdakhel A, Ghavidel A, Panahandeh M. CFD modeling of particulate matter dispersion from Kerman cement plant. Iranian Journal of Health and Environment. 2010;3(1):67-74. (in Persian)
28. Akbari A, editor Borhan diani S, an Evaluation of pollutant gases outlet cement factory behbahan And compared with the standard. 1th National Conference on Planning and Environmental Hamadan-Islamic Azad University; 2011:1-8. (in Persian)
29. Bonankhah A. Application of Artificial Neural Networks in Estimating Particulate Particles Caused by Industries (A Case study: Shiraz Cement Factory). [Masters Thesis]. Iran. Faculty of Natural Resources and the Environment of Yazd University; 2012. (in Persian)
30. Nezamparvar S. Modeling the dust output of Flue using Neural network and Study the performance of Electro-filter (A Case Study of Zaveh Cement Factory). [Masters Thesis]. Iran. Faculty of Geography and Environmental of Hakim Sabzevari University; 2015. (in Persian)
31. NOURI RE, Ashrafi K, Azhdarpour A. Comparison of ANN and PCA based multivariate linear regression applied to predict the daily average concentration of CO: A case study of Tehran. 2008. (in Persian)