Prediction of design parameters of pneumatic cleaners with MARS method
Abstract
Keywords: MARS, pneumatic cleaner, cleaning efficiency, loss ratio
DOI: 10.25165/j.ijabe.20211402.5715
Citation: Tekgüler A, Dünder E, Karaköse T. Prediction of design parameters of pneumatic cleaners with MARS method. Int J Agric & Biol Eng, 2021; 14(2): 106–111.
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Berber S. Determination of aerodynamic properties of safflower (Carthamus tinctorious L.) seeds. Master dissertation. Tokat: Gaziosmanpaşa University, 2007. (in Turkish)
Adewumi B A, Ademosun O C, Ogunlowo A S. Preliminary investigation on the distribution and spread pattern of cowpea in a cross flow grain separator. Agricultural Engineering International: The CIGR Ejournal, 2006; VIII: 1–12.
Kutzbach H D. Approaches for mathematical modelling of grain separation. Proceedings of the International Conference on Crop Harvesting and Processing, Louisville, USA, 2003; pp.121–130.
Friedman J H. Multivariate adaptive regression splines. Ann Stat, 1991; 19(1): 1–141.
Oktar S, Yüksel S. The banking crisis of the early warning signals: an application on Turkey. Istanbul Commerce University Journal of Social Sciences, 2015; 28: 37–53.
Çinaroğlu S. Examination of random forest performance results generating different number of tress and changing “k” parameter in cross validation. Turkiye Klinikleri Journal of Biostatistics, 2015; 7(2): 108–118.
Karaköse T, Tekgüler A. Determination of performance characteristics of horizontal wind tunnel in the cleaning of corn-cob mix. Inmateh Journal-Agricultural Engineering, 2017; 53(3): 81–88.
Simonyan K J, Yiljep Y D. Investigating grain separation and cleaning efficiency distribution of a conventional stationary rasp-bar sorghum thresher. Agricultural Engineering International: The CIGR Ejournal, 2008; X: 1–13.
Hamidi O, Tapak L, Abbasi H, Maryanaji Z. Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran). Theoretical and Applied Climatology, 2018; 134: 769–776.
Taylan P, Weber G W, Özkurt F Y. A new approach to multivariate adaptive regression splines by using Tikhonov regularization and continuous optimization. Top, 2010; 18(2): 377–395.
Hurburgh C R, Bern C J, Brumm T J. Efficiency of rotary grain cleaners in dry corn. Transactions of the ASAE, 1989; 32(6): 2073–2077.
Uhl J B, Lamp B J. Pneumatic separation of grain and straw mixtures. Transactions of the ASAE, 1966; 9: 244–246.
Tabatabaeefar A, Aghagoolzadeh H, Mobli H. Design and development of an auxiliary chickpea second sieving and grading machine. Agricultural Engineering International: CIGR Journal of Scientific Research and Development, 2003; 5: 1–8.
Panasiewicz M, Sobczak P, Mazur J, Zawiślak K, Andrejko D. The technique and analysis of the process of separation and cleaning grain materials. Journal of Food Engineering, 2011; 109: 603–608.
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