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Drying Technology
An International Journal
Volume 16, 1998 - Issue 3-5
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TECHNICAL NOTE

PREDICTION OF PSYCHROMETRIC PARAMETERS USING NEURAL NETWORKS

S. Sreekanth Macdonald Campus, McGill University, 21111, Lakeshore Rd. Ste. Anne de Bellevue, Quebec, H9X 3V9, CanadaView further author information
,
H.S. Ramaswamy Macdonald Campus, McGill University, 21111, Lakeshore Rd. Ste. Anne de Bellevue, Quebec, H9X 3V9, CanadaView further author information
&
S. Sablani Macdonald Campus, McGill University, 21111, Lakeshore Rd. Ste. Anne de Bellevue, Quebec, H9X 3V9, CanadaView further author information
Pages 825-837 | Published online: 16 May 2007

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Fakhreddin Salehi. (2020) Recent Advances in the Modeling and Predicting Quality Parameters of Fruits and Vegetables during Postharvest Storage: A Review. International Journal of Fruit Science 20:3, pages 506-520.
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Ali Jahani, Jahangir Feghhi, Majid F. Makhdoum & Mahmoud Omid. (2016) Optimized forest degradation model (OFDM): an environmental decision support system for environmental impact assessment using an artificial neural network. Journal of Environmental Planning and Management 59:2, pages 222-244.
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P. C. Panchariya, D. Popovic & A. L. Sharma. (2002) DESORPTION ISOTHERM MODELLING OF BLACK TEA USING ARTIFICIAL NEURAL NETWORKS. Drying Technology 20:2, pages 351-362.
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Robert M. Myhara & Shyam Sablani. (2001) UNIFICATION OF FRUIT WATER SORPTION ISOTHERMS USING ARTIFICIAL NEURAL NETWORKS. Drying Technology 19:8, pages 1543-1554.
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A. Jahani. (2018) Sycamore failure hazard classification model (SFHCM): an environmental decision support system (EDSS) in urban green spaces. International Journal of Environmental Science and Technology 16:2, pages 955-964.
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Chien Lee & Yu-Jen Wang. (2018) A novel method to derive formulas for computing the wet-bulb temperature from relative humidity and air temperature. Measurement 128, pages 271-275.
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Arif OZBEK. (2016) Yapay Sinir Ağları Kullanarak Nemli Havanın Termodinamik Özelliklerinin Tahmini. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 31:1, pages 51-58.
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Kayvan Abbasi, Aaron P. Wemhoff & Alfonso Ortega. (2014) Detailed and reduced order modeling of steady state counterflow mechanical draft cooling towers for analysis of Data Center energy efficiency. Detailed and reduced order modeling of steady state counterflow mechanical draft cooling towers for analysis of Data Center energy efficiency.
Sayed-Hossein Sadeghi, Troy R. Peters, Douglas R. Cobos, Henry W. Loescher & Colin S. Campbell. (2013) Direct Calculation of Thermodynamic Wet-Bulb Temperature as a Function of Pressure and Elevation. Journal of Atmospheric and Oceanic Technology 30:8, pages 1757-1765.
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Thomas J. Glezakos, Theodore A. Tsiligiridis, Lazaros S. Iliadis, Constantine P. Yialouris, Fotis P. Maris & Konstantinos P. Ferentinos. (2009) Feature extraction for time-series data: An artificial neural network evolutionary training model for the management of mountainous watersheds. Neurocomputing 73:1-3, pages 49-59.
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Xueqiang Liu, Xiaoguang Chen, Wenfu Wu & Guilan Peng. (2007) A neural network for predicting moisture content of grain drying process using genetic algorithm. Food Control 18:8, pages 928-933.
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Lazaros S. Iliadis & Fotis Maris. (2007) An Artificial Neural Network model for mountainous water-resources management: The case of Cyprus mountainous watersheds. Environmental Modelling & Software 22:7, pages 1066-1072.
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Guilan Peng, Xiaoguang Chen, Wenfu Wu & Xiujuan Jiang. (2007) Modeling of water sorption isotherm for corn starch. Journal of Food Engineering 80:2, pages 562-567.
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T.J. Shankar & S. Bandyopadhyay. (2007) Prediction of Extrudate Properties Using Artificial Neural Networks. Food and Bioproducts Processing 85:1, pages 29-33.
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Stavros Avramidis & Lazaros Iliadis. (2005) Wood-water sorption isotherm prediction with artificial neural networks: A preliminary study. Holzforschung 59:3, pages 336-341.
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C.R. Chen & H.S. Ramaswamy. (2004) Multiple Ramp-variable Retort Temperature Control for Optimal Thermal Processing. Food and Bioproducts Processing 82:1, pages 78-88.
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G.S. Mittal & J. Zhang. (2003) Artificial Neural Network-based Psychrometric Predictor. Biosystems Engineering 85:3, pages 283-289.
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C.R Chen & H.S Ramaswamy. (2003) Analysis of critical control points in deviant thermal processes using artificial neural networks. Journal of Food Engineering 57:3, pages 225-235.
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C.R. CHEN & H.S. RAMASWAMY. (2007) MODELING AND OPTIMIZATION OF CONSTANT RETORT TEMPERATURE (CRT) THERMAL PROCESSING USING COUPLED NEURAL NETWORKS AND GENETIC ALGORITHMS. Journal of Food Process Engineering 25:5, pages 351-379.
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C.R. Chen & H.S. Ramaswamy. (2002) Modeling and optimization of variable retort temperature (VRT) thermal processing using coupled neural networks and genetic algorithms. Journal of Food Engineering 53:3, pages 209-220.
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C. R. CHEN, H. S. RAMASWAMY & S. O. PRASHER. (2002) DYNAMIC MODELING OF RETORT PROCESSING USING NEURAL NETWORKS. Journal of Food Processing and Preservation 26:2, pages 91-111.
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M Afaghi, H.S Ramaswamy & S.O Prasher. (2001) Thermal process calculations using artificial neural network models. Food Research International 34:1, pages 55-65.
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I. Farkas, P. Reményi & A. Biró. (2000) Modelling aspects of grain drying with a neural network. Computers and Electronics in Agriculture 29:1-2, pages 99-113.
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C.R Chen & H.S Ramaswamy. (2000) A neuro-computing approach for modeling of residence time distribution (RTD) of carrot cubes in a vertical scraped surface heat exchanger (SSHE). Food Research International 33:7, pages 549-556.
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I Farkas, P Reményi & A Biró. (2000) A neural network topology for modelling grain drying. Computers and Electronics in Agriculture 26:2, pages 147-158.
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S. SREEKANTH, H.S. RAMASWAMY, S.S. SABLANI & S.O. PRASHER. (1999) A NEURAL NETWORK APPROACH FOR EVALUATION of SURFACE HEAT TRANSFER COEFFICIENT. Journal of Food Processing and Preservation 23:4, pages 329-348.
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R.M Myhara, S.S Sablani, S.M Al-Alawi & M.S Taylor. (1998) Water Sorption Isotherms of Dates: Modeling Using GAB Equation and Artificial Neural Network Approaches. LWT - Food Science and Technology 31:7-8, pages 699-706.
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