Application of artificial neural network and multiple linear regression in modeling nutrient recovery in vermicompost under different conditions.

Journal: Bioresource technology
PMID: 32035386

Abstract

Vermicomposting is one of the best technologies for nutrient recovery from solid waste. This study aims to assess the efficiency of Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) models in predicting nutrient recovery from solid waste under different vermicompost treatments. Seven chemical and biological indices were studied as input variables to predict total nitrogen (TN) and total phosphorus (TP) recovery. The developed ANN and MLR models were compared by statistical analysis including R-squared (R), Adjusted-R, Root Mean Square Error and Absolute Average Deviation. The results showed that vermicomposting increased TN and TP proportions in final products by 1.5 and 16 times. The ANN models provided better prediction for TN and TP with R of 0.9983 and 0.9991 respectively, compared with MLR models with R of 0.834 and 0.729. TN and C/N ratio were key factors for TP and TN prediction by ANN with percentages of 17.76 and 18.33.

Authors

  • Ahmad Hosseinzadeh
    Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
  • Mansour Baziar
    Ferdows School of Paramedical and Health, Birjand University of Medical Sciences, Birjand, Iran.
  • Hossein Alidadi
    Social Determinants of Health Research Center, Department of Environmental Health Engineering, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  • John L Zhou
    Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia. Electronic address: Junliang.zhou@uts.edu.au.
  • Ali Altaee
    Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
  • Ali Asghar Najafpoor
    Social Determinants of Health Research Center, Department of Environmental Health Engineering, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Salman Jafarpour
    Social Determinants of Health Research Center, Department of Environmental Health Engineering, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.

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