Paper Title:
Predicting the Respiration Rate of Papaya (Carica papaya L.) Using Different Models
  Abstract

The modellings of the respiration rate of papaya by using enzyme kinetics, chemical kinetics and artificial neural network (ANN) were developed respectively, and all the models were parameterized with experimental data obtained at temperatures of 8, 18 and 28 °C by the closed system method for comparison. The ANN model was thought to be the best after being evaluated by the mean absolute percentage error (MAPE) and the two-tailed Pearson correlation coefficient r. The study demonstrated that the ANN model and the chemical kinetic model can be applied to the prediction of papaya’s respiration rate.

  Info
Periodical
Edited by
Robert Zhu
Pages
400-405
DOI
10.4028/www.scientific.net/AMM.140.400
Citation
C. Y. Hu, Y. J. Liu, M. L. Hou, Y. M. Wu, Z. W. Wang, "Predicting the Respiration Rate of Papaya (Carica papaya L.) Using Different Models", Applied Mechanics and Materials, Vol. 140, pp. 400-405, 2012
Online since
November 2011
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