Machine learning based modelling for lower heating value prediction of municipal solid waste
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[1] Thomas G. Dietterich. Overfitting and undercomputing in machine learning , 1995, CSUR.
[2] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[3] Changqing Dong,et al. Predicting the heating value of MSW with a feed forward neural network. , 2003, Waste management.
[4] K. Sopian,et al. Modeling the heating value of Municipal Solid Waste , 2003 .
[5] Hung-Yee Shu,et al. Prediction for Energy Content of Taiwan Municipal Solid Waste Using Multilayer Perceptron Neural Networks , 2006, Journal of the Air & Waste Management Association.
[6] Y. Chang,et al. Multiple regression models for the lower heating value of municipal solid waste in Taiwan. , 2007, Journal of environmental management.
[7] Ahmet Demir,et al. Predicting the Heating Value of Municipal Solid Waste-based Materials: An Artificial Neural Network Model , 2010 .
[8] F. N. Ogwueleka,et al. MODELLING ENERGY CONTENT OF MUNICIPAL SOLID WASTE USING ARTIFICIAL NEURAL NETWORK , 2010 .
[9] P. Jayarama Reddy. Municipal Solid Waste Management: Processing - Energy Recovery - Global Examples , 2011 .
[10] I-Ming Chen,et al. Swift model for a lower heating value prediction based on wet-based physical components of municipal solid waste. , 2013, Waste management.
[11] Qinghai Li,et al. An overview of characteristics of municipal solid waste fuel in China: Physical, chemical composition and heating value , 2014 .
[12] Jianzhou Wang,et al. Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression , 2015 .
[13] Maryam Abbasi,et al. Forecasting municipal solid waste generation using artificial intelligence modelling approaches. , 2016, Waste management.
[14] T. Astrup,et al. Physico-chemical characterisation of material fractions in residual and source-segregated household waste in Denmark. , 2016, Waste management.
[15] N. Mahinpey,et al. Characterization, thermochemical conversion studies, and heating value modeling of municipal solid waste. , 2016, Waste management.
[16] Ebru Akkaya,et al. ANFIS based prediction model for biomass heating value using proximate analysis components , 2016 .
[17] N. Scarlat,et al. Status and Opportunities for Energy Recovery from Municipal Solid Waste in Europe , 2019 .
[18] Evangelos Spiliotis,et al. Statistical and Machine Learning forecasting methods: Concerns and ways forward , 2018, PloS one.
[19] G. Martins,et al. Statistical model for heating value of municipal solid waste in Brazil based on gravimetric composition. , 2019, Waste management.