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Prediction of Thermal Properties of Sweet Sorghum Bagasse as a Function of Moisture Content Using Artificial Neural Networks and Regression Models

Abstract

Artificial neural networks (ANN) and traditional regression models were developed for prediction of thermal properties of sweet sorghum bagasse as a function of moisture content and room temperature. Predictions were made for three thermal properties: 1) thermal conductivity, 2) volumetric specific heat, and 3) thermal diffusivity. Each thermal property had five levels of moisture content (8.52%, 12.93%, 18.94%, 24.63%, and 28.62%, w. b.) and room temperature as inputs. Data were sub-partitioned for training, testing, and validation of models. Backpropagation (BP) and Kalman Filter (KF) learning algorithms were employed to develop nonparametric models between input and output data sets. Statistical indices including correlation coefficient (R) between actual and predicted outputs were produced for selecting the suitable models. Prediction plots for thermal properties indicated that the ANN models had better accuracy from unseen patterns as compared to regression models. In general, ANN models were able to strongly generalize and interpolate unseen patterns within the domain of training.

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Flow and Thermal Properties of Stevia Powder

Chemical Reactor Engineering, vol. 5, no. 1, pp. 1-6. Gasmalla , M. A. A. - Yang , R. - Hua , X. 2014. Stevia rebaudiana Bertoni: An alternative sugar replacer and its application in food industry. In Food Engineering Reviews, vol. 6, pp. 150-162. Gosukonda , R. - Mahapatra , A. K. - Ekefre, D. E. - Latimore , M. Jr. 2017. Prediction of thermal properties of sweet sorghum bagasse as a function of moisture content using artificial neural networks and regression models. In Acta Technologica Agriculturae, vol. 20, no. 2, pp. 29

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Empirical Models and Process Optimization for Prediction of Nutritional Parameters of Stored Cowpea Variety (IT96D-610K)

(L.) (Orthoptera: Blattellidae) under simulated field conditions. In Journal of Stored Products Research, vol. 42, no. 3, pp. 253–263. GOSUKUNDA, R. – MAHAPATRA, A. K. – EKEFRE, D. – LATIMORE, M. 2017. Prediction of thermal properties of sweet sorghum bagasse as a function of moisture content using artificial neural networks and regression models. In Acta Technologica Agriculturae, vol. 20, no. 2, pp. 29–35. JENKINS, D. J. 2000. Dietary fiber, lentil carbohydrates and the insulin-resistant diseases. In British Journal of Nutrition, vol. 83, pp. 157

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The dynamics of some physical and physico-chemical properties during composting of municipal solid wastes and biomass of energetic plants

selected hydrophobic components during composting of municipal solid wastes. Journal of Soils and Sediments 14(2): 305–311. Bernal M.P., Navarro A.F., Roig A., Cegarra J., Garcia D., 1996. Carbon and nitrogen transformation during composting of sweet sorghum bagasse. Biology and Fertility of Soils 22: 141–148. Chen Y., Chefetz B., Harada Y., 1996. Formation and Properties of Humic Substance Origination from Compost. [In:] The Science of Composting. (red.) de Bertoldi M., Sequi P., Lemmes B., Papi T. Blackie Academic & Proffesional, London, Glasgow, Wienheim

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Influence of agricultural utilization of sludge and compost from rural wastewater treatment plant on nitrogen passes in light soil

-1116. 6. Böhem, L. (1957). Compostierung von Klarschlamm nach dem Verfahren natürlicher compostierung, Landvirtschaft H 12, pp. 1-83. 7. Bernal, P., Navarro, A.F., Roig, A., Cegarra, J. & Garcıa, D. (1996). Carbon and nitrogen transformation during composting of sweet sorghum bagasse Biology and Fertility of Soils, 22, pp. 141-148. 8. Czyżyk, F., Kuczewska, M. & Sieradzki, T. (2001). Preliminary results of studies composting liquid sewage sludge with straw. Zesz. Probl. Post. Nauk Rol. 475, 263-270 (in Polish). 9. Iżewska

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Perspectives of Hydrogen Production from Corn Wastes in Poland by Means of Dark Fermentation

-hydrogen production from waste materials. Enzyme Microb Technol. 2006;38:569-582. DOI: 10.1016/j.enzmictec.2005.09.015. [7] Panagiotopoulos IA, Bakker RR, De Vrije T, Koukios EG, Claassen PAM. Pretreatment of sweet sorghum bagasse for hydrogen production by Caldicellulosiruptor saccharolyticus. Int J Hydrogen Energy. 2010;35:7738-7747. DOI: 10.1016/j.ijhydene.2010.05.075. [8] Panagiotopoulos I, Dakker R, Vrije T, Niel E Van, Koukios E, et al. Exploring critical factors for fermentative hydrogen production from various types of lignocellulosic biomass. J Japan Inst

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Effect of operating parameters on production of bio-oil from fast pyrolysis of maize stalk in bubbling fluidized bed reactor

-15. DOI: 10.1021/ie00073a003. 22. Bridgwater, A.V. (2003). Renewable fuels and chemicals by thermal processing of biomass. Chem. Engine. J. 91, 87-102. DOI: 10.1016/S1385-8947(02)00142-0. 23. Bridgwater, A.V., Meier, D. & Radlein, D. (1999). An overview of fast pyrolysis of biomass. Org. Geochem. 30, 1479-1493. DOI: 10.1016/S0146-6380(99)00120-59. 24. Piskorz, J., Majerski, P., Radlein, D., Scott, D.S. & Bridgwater, A.V. (1998). Fast pyrolysis of sweet sorghum and sweet sorghum bagasse. J. Anal. Appl. Pyrol. 46, 15-29. DOI

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