TY - STD TI - Aladejare AE, Onifade M, Lawal AI (2020) Application of metaheuristic based artificial neural network and multilinear regression for the prediction of higher heating values of fuels. Int J Coal Prep Util:1–22 ID - ref1 ER - TY - JOUR AU - Bach, Q. -. V. AU - Tran, K. -. Q. AU - Skreiberg, Ø. PY - 2016 DA - 2016// TI - Hydrothermal pretreatment of fresh forest residues: effects of feedstock pre-drying JO - Biomass Bioenerg VL - 85 UR - https://doi.org/10.1016/j.biombioe.2015.11.019 DO - 10.1016/j.biombioe.2015.11.019 ID - Bach2016 ER - TY - JOUR AU - Brewer, C. E. AU - Chuang, V. J. AU - Masiello, C. A. AU - Gonnermann, H. AU - Gao, X. AU - Dugan, B. AU - Driver, L. E. AU - Panzacchi, P. AU - Zygourakis, K. AU - Davies, C. A. PY - 2014 DA - 2014// TI - New approaches to measuring biochar density and porosity JO - Biomass Bioenerg VL - 66 UR - https://doi.org/10.1016/j.biombioe.2014.03.059 DO - 10.1016/j.biombioe.2014.03.059 ID - Brewer2014 ER - TY - STD TI - Danso-Boateng E (2015) Biomass hydrothermal carbonisation for sustainable engineering. Doctoral dissertation, Loughborough University ID - ref4 ER - TY - JOUR AU - Estiati, I. AU - Freire, F. B. AU - Freire, J. T. AU - Aguado, R. AU - Olazar, M. PY - 2016 DA - 2016// TI - Fitting performance of artificial neural networks and empirical correlations to estimate higher heating values of biomass JO - Fuel VL - 180 UR - https://doi.org/10.1016/j.fuel.2016.04.051 DO - 10.1016/j.fuel.2016.04.051 ID - Estiati2016 ER - TY - STD TI - Ferreira C (2001) Gene expression programming: a new adaptive algorithm for solving problems. https://arxiv.org/abs/cs/0102027. Accessed 22 Jul 2020 UR - https://arxiv.org/abs/cs/0102027 ID - ref6 ER - TY - JOUR AU - Funke, A. AU - Ziegler, F. PY - 2010 DA - 2010// TI - Hydrothermal carbonization of biomass: a summary and discussion of chemical mechanisms for process engineering JO - Biofuel BioprodBior VL - 4 UR - https://doi.org/10.1002/bbb.198 DO - 10.1002/bbb.198 ID - Funke2010 ER - TY - JOUR AU - Gao, L. AU - Volpe, M. AU - Lucian, M. AU - Fiori, L. AU - Goldfarb, J. L. PY - 2019 DA - 2019// TI - Does hydrothermal carbonization as a biomass pretreatment reduce fuel segregation of coal-biomass blends during oxidation? Energy Convers JO - Manage VL - 181 ID - Gao2019 ER - TY - JOUR AU - Gevrey, M. AU - Dimopoulos, I. AU - Lek, S. PY - 2003 DA - 2003// TI - Review and comparison of methods to study the contribution of variables in artificial neural network models JO - Ecol Model VL - 160 UR - https://doi.org/10.1016/S0304-3800(02)00257-0 DO - 10.1016/S0304-3800(02)00257-0 ID - Gevrey2003 ER - TY - JOUR AU - Ghugare, S. B. AU - Tiwary, S. AU - Tambe, S. S. PY - 2017 DA - 2017// TI - Computational intelligence based models for prediction of elemental composition of solid biomass fuels from proximate analysis JO - Int J Sys Ass EngMgt VL - 8 ID - Ghugare2017 ER - TY - JOUR AU - Guven, A. AU - Aytek, A. PY - 2009 DA - 2009// TI - New approach for stage-discharge relationship: gene-expression programming JO - J HydrolEng VL - 14 ID - Guven2009 ER - TY - JOUR AU - Hansen, J. V. AU - Meservy, R. D. PY - 1996 DA - 1996// TI - Learning experiments with genetic optimization of a generalized regression neural network JO - Decis Support Syst VL - 18 UR - https://doi.org/10.1016/0167-9236(96)00032-2 DO - 10.1016/0167-9236(96)00032-2 ID - Hansen1996 ER - TY - JOUR AU - He, X. AU - Liu, Z. AU - Niu, W. AU - Yang, L. AU - Zhou, T. AU - Qin, D. AU - Niu, Z. AU - Yuan, Q. PY - 2018 DA - 2018// TI - Effects of pyrolysis temperature on the physicochemical properties of gas and biochar obtained from pyrolysis of crop residues JO - Energy VL - 143 UR - https://doi.org/10.1016/j.energy.2017.11.062 DO - 10.1016/j.energy.2017.11.062 ID - He2018 ER - TY - JOUR AU - Holtmeyer, M. L. AU - Li, G. AU - Kumfer, B. M. AU - Li, S. AU - Axelbaum, R. L. PY - 2013 DA - 2013// TI - The impact of biomass cofiring on volatile flame length JO - Energ Fuel VL - 27 UR - https://doi.org/10.1021/ef4013505 DO - 10.1021/ef4013505 ID - Holtmeyer2013 ER - TY - JOUR AU - Hwang, I. -. H. AU - Aoyama, H. AU - Matsuto, T. AU - Nakagishi, T. AU - Matsuo, T. PY - 2012 DA - 2012// TI - Recovery of solid fuel from municipal solid waste by hydrothermal treatment using subcritical water JO - J Waste Manag VL - 32 UR - https://doi.org/10.1016/j.wasman.2011.10.006 DO - 10.1016/j.wasman.2011.10.006 ID - Hwang2012 ER - TY - JOUR AU - Jain, A. K. AU - Mao, J. AU - Mohiuddin, K. M. PY - 1996 DA - 1996// TI - Artificial neural networks: a tutorial JO - Comput J VL - 29 ID - Jain1996 ER - TY - JOUR AU - Kambo, H. S. AU - Dutta, A. PY - 2014 DA - 2014// TI - Strength, storage, and combustion characteristics of densified lignocellulosic biomass produced via torrefaction and hydrothermal carbonization JO - Appl Energy VL - 135 UR - https://doi.org/10.1016/j.apenergy.2014.08.094 DO - 10.1016/j.apenergy.2014.08.094 ID - Kambo2014 ER - TY - JOUR AU - Kambo, H. S. AU - Dutta, A. PY - 2015 DA - 2015// TI - A comparative review of biochar and hydrochar in terms of production, physico-chemical properties, and applications JO - Renew SustEnerg Rev VL - 45 UR - https://doi.org/10.1016/j.rser.2015.01.050 DO - 10.1016/j.rser.2015.01.050 ID - Kambo2015 ER - TY - JOUR AU - Khandelwal, M. AU - Singh, T. PY - 2010 DA - 2010// TI - Prediction of macerals contents of Indian coals from proximate and ultimate analyses using artificial neural networks JO - Fuel VL - 89 UR - https://doi.org/10.1016/j.fuel.2009.11.028 DO - 10.1016/j.fuel.2009.11.028 ID - Khandelwal2010 ER - TY - JOUR AU - Kim, D. AU - Lee, K. AU - Park, K. Y. PY - 2014 DA - 2014// TI - Hydrothermal carbonization of anaerobically digested sludge for solid fuel production and energy recovery JO - Fuel VL - 130 UR - https://doi.org/10.1016/j.fuel.2014.04.030 DO - 10.1016/j.fuel.2014.04.030 ID - Kim2014 ER - TY - JOUR AU - Krylova, A. Y. AU - Zaitchenko, V. PY - 2018 DA - 2018// TI - Hydrothermal carbonization of biomass: a review JO - Solid Fuel Chem VL - 52 UR - https://doi.org/10.3103/S0361521918020076 DO - 10.3103/S0361521918020076 ID - Krylova2018 ER - TY - JOUR AU - Kubacki, M. L. AU - Ross, A. B. AU - Jones, J. M. AU - Williams, A. PY - 2012 DA - 2012// TI - Small-scale co-utilisation of coal and biomass JO - Fuel VL - 101 UR - https://doi.org/10.1016/j.fuel.2011.06.034 DO - 10.1016/j.fuel.2011.06.034 ID - Kubacki2012 ER - TY - JOUR AU - Lawal, A. I. PY - 2020 DA - 2020// TI - An artificial neural network-based mathematical model for the prediction of blast-induced ground vibration in granite quarries in Ibadan, Oyo State Nigeria JO - Sci Afr VL - 8 ID - Lawal2020 ER - TY - JOUR AU - Lawal, A. I. AU - Aladejare, A. E. AU - Onifade, M. AU - Bada, S. AU - Idris, M. A. PY - 2020 DA - 2020// TI - Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN, and MLR JO - Int J Coal Sci Technol UR - https://doi.org/10.1007/s40789-020-00346-9 DO - 10.1007/s40789-020-00346-9 ID - Lawal2020 ER - TY - JOUR AU - Lee, J. AU - Sohn, D. AU - Lee, K. AU - Park, K. Y. PY - 2019 DA - 2019// TI - Solid fuel production through hydrothermal carbonization of sewage sludge and microalgae Chlorella sp. from wastewater treatment plant JO - Chemosphere VL - 230 UR - https://doi.org/10.1016/j.chemosphere.2019.05.066 DO - 10.1016/j.chemosphere.2019.05.066 ID - Lee2019 ER - TY - JOUR AU - Libra, J. A. AU - Ro, K. S. AU - Kammann, C. AU - Funke, A. AU - Berge, N. D. AU - Neubauer, Y. AU - Titirici, M. -. M. AU - Fühner, C. AU - Bens, O. AU - Kern, J. PY - 2011 DA - 2011// TI - Hydrothermal carbonization of biomass residuals: a comparative review of the chemistry, processes, and applications of wet and dry pyrolysis JO - Biofuels VL - 2 UR - https://doi.org/10.4155/bfs.10.81 DO - 10.4155/bfs.10.81 ID - Libra2011 ER - TY - JOUR AU - Majumder, A. K. AU - Jain, R. AU - Banerjee, P. AU - Barnwal, J. PY - 2008 DA - 2008// TI - Development of a new proximate analysis based correlation to predict calorific value of coal JO - Fuel VL - 87 UR - https://doi.org/10.1016/j.fuel.2008.04.008 DO - 10.1016/j.fuel.2008.04.008 ID - Majumder2008 ER - TY - JOUR AU - Makwarela, M. AU - Bada, S. AU - Falcon, R. PY - 2017 DA - 2017// TI - Co-firing combustion characteristics of different ages of Bambusabalcooa relative to a high ash coal JO - Renew Energy VL - 105 UR - https://doi.org/10.1016/j.renene.2016.12.059 DO - 10.1016/j.renene.2016.12.059 ID - Makwarela2017 ER - TY - JOUR AU - Mierzwa-Hersztek, M. AU - Gondek, K. AU - Jewiarz, M. AU - Dziedzic, K. PY - 2019 DA - 2019// TI - Assessment of energy parameters of biomass and biochars, leachability of heavy metals, and phytotoxicity of their ashes JO - J Mater Cycles Waste VL - 21 UR - https://doi.org/10.1007/s10163-019-00832-6 DO - 10.1007/s10163-019-00832-6 ID - Mierzwa-Hersztek2019 ER - TY - JOUR AU - Mumme, J. AU - Eckervogt, L. AU - Pielert, J. AU - Diakité, M. AU - Rupp, F. AU - Kern, J. PY - 2011 DA - 2011// TI - Hydrothermal carbonization of anaerobically digested maize silage JO - BioresourTechnol VL - 102 UR - https://doi.org/10.1016/j.biortech.2011.06.099 DO - 10.1016/j.biortech.2011.06.099 ID - Mumme2011 ER - TY - STD TI - Onifade M, Lawal AI, Aladejare AE, Bada S, Idris MA (2019) Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis. Int J Coal Prep Util:1–15 ID - ref31 ER - TY - JOUR AU - Park, K. Y. AU - Lee, K. AU - Kim, D. PY - 2018 DA - 2018// TI - Characterized hydrochar of algal biomass for producing solid fuel through hydrothermal carbonization JO - BioresourTechnol VL - 258 UR - https://doi.org/10.1016/j.biortech.2018.03.003 DO - 10.1016/j.biortech.2018.03.003 ID - Park2018 ER - TY - JOUR AU - Parshetti, G. K. AU - Hoekman, S. K. AU - Balasubramanian, R. PY - 2013 DA - 2013// TI - Chemical, structural and combustion characteristics of carbonaceous products obtained by hydrothermal carbonization of palm empty fruit bunches JO - BioresourTechnol VL - 135 UR - https://doi.org/10.1016/j.biortech.2012.09.042 DO - 10.1016/j.biortech.2012.09.042 ID - Parshetti2013 ER - TY - STD TI - Patel N (2019) Hydrothermal Carbonization (HTC) of Marine Seaweed (Macroalgae) for Producing Hydro-Char. Masters thesis, Dalhousie University ID - ref34 ER - TY - JOUR AU - Patel, S. U. AU - Kumar, B. J. AU - Badhe, Y. P. AU - Sharma, B. AU - Saha, S. AU - Biswas, S. AU - Chaudhury, A. AU - Tambe, S. S. AU - Kulkarni, B. D. PY - 2007 DA - 2007// TI - Estimation of gross calorific value of coals using artificial neural networks JO - Fuel VL - 86 UR - https://doi.org/10.1016/j.fuel.2006.07.036 DO - 10.1016/j.fuel.2006.07.036 ID - Patel2007 ER - TY - JOUR AU - Peng, C. AU - Zhai, Y. AU - Zhu, Y. AU - Xu, B. AU - Wang, T. AU - Li, C. AU - Zeng, G. PY - 2016 DA - 2016// TI - Production of char from sewage sludge employing hydrothermal carbonization: char properties, combustion behavior, and thermal characteristics JO - Fuel VL - 176 UR - https://doi.org/10.1016/j.fuel.2016.02.068 DO - 10.1016/j.fuel.2016.02.068 ID - Peng2016 ER - TY - STD TI - Perlack RD, Eaton LM, Turhollow Jr AF, Langholtz MH, Brandt CC, Downing ME, Graham RL, Wright LL, Kavkewitz JM, Shamey AM (2011) US billion-ton update: biomass supply for a bioenergy and bioproducts industry. https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1015&context=abe_eng_reports. Accessed 16 Jul 2020 UR - https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1015&context=abe_eng_reports ID - ref37 ER - TY - JOUR AU - Pradhan, P. AU - Mahajani, S. M. AU - Arora, A. PY - 2018 DA - 2018// TI - Production and utilization of fuel pellets from biomass: a review JO - Fuel Process Technol VL - 181 UR - https://doi.org/10.1016/j.fuproc.2018.09.021 DO - 10.1016/j.fuproc.2018.09.021 ID - Pradhan2018 ER - TY - JOUR AU - Reza, M. T. AU - Uddin, M. H. AU - Lynam, J. G. AU - Hoekman, S. K. AU - Coronella, C. J. PY - 2014 DA - 2014// TI - Hydrothermal carbonization of loblolly pine: reaction chemistry and water balance JO - Biomass Convers Biorefin VL - 4 UR - https://doi.org/10.1007/s13399-014-0115-9 DO - 10.1007/s13399-014-0115-9 ID - Reza2014 ER - TY - JOUR AU - Rousset, P. AU - Macedo, L. AU - Commandré, J. -. M. AU - Moreira, A. PY - 2012 DA - 2012// TI - Biomass torrefaction under different oxygen concentrations and its effect on the composition of the solid by-product JO - J Anal Appl Pyrolysis VL - 96 UR - https://doi.org/10.1016/j.jaap.2012.03.009 DO - 10.1016/j.jaap.2012.03.009 ID - Rousset2012 ER - TY - JOUR AU - Saadat, M. AU - Khandelwal, M. AU - Monjezi, M. PY - 2014 DA - 2014// TI - An ANN-based approach to predict blast-induced ground vibration of Gol-E-Gohar iron ore mine JO - Iran J Rock MechGeotechEng VL - 6 ID - Saadat2014 ER - TY - JOUR AU - Saba, A. AU - Saha, P. AU - Reza, M. T. PY - 2017 DA - 2017// TI - Co-Hydrothermal Carbonization of coal-biomass blend: Influence of temperature on solid fuel properties JO - Fuel Process Technol VL - 167 UR - https://doi.org/10.1016/j.fuproc.2017.08.016 DO - 10.1016/j.fuproc.2017.08.016 ID - Saba2017 ER - TY - JOUR AU - Sadiku, N. A. AU - Oluyege, A. O. AU - Sadiku, I. B. PY - 2016 DA - 2016// TI - Analysis of the calorific and fuel value index of bamboo as a source of renewable biomass feedstock for energy generation in Nigeria JO - Lignocellulose VL - 5 ID - Sadiku2016 ER - TY - JOUR AU - Safarian, S. AU - Unnþórsson, R. AU - Richter, C. PY - 2019 DA - 2019// TI - A review of biomass gasification modelling JO - Renew SustEnerg Rev VL - 110 UR - https://doi.org/10.1016/j.rser.2019.05.003 DO - 10.1016/j.rser.2019.05.003 ID - Safarian2019 ER - TY - STD TI - Said KO, Onifade M, Lawal AI, Githiria JM (2020a) An artificial intelligence-based model for the prediction of spontaneous combustion liability of coal based on its proximate analysis. Combust Sci Technol:1–18 ID - ref45 ER - TY - STD TI - Said KO, Onifade M, Lawal AI, Githiria JM (2020b) Computational intelligence-based models for predicting the spontaneous combustion liability of coal. Int J Coal Prep Util:1–25 ID - ref46 ER - TY - JOUR AU - Saidur, R. AU - Abdelaziz, E. AU - Demirbas, A. AU - Hossain, M. AU - Mekhilef, S. PY - 2011 DA - 2011// TI - A review on biomass as a fuel for boilers JO - Renew SustEnerg Rev VL - 15 UR - https://doi.org/10.1016/j.rser.2011.02.015 DO - 10.1016/j.rser.2011.02.015 ID - Saidur2011 ER - TY - JOUR AU - Saldarriaga, J. F. AU - Aguado, R. AU - Pablos, A. AU - Amutio, M. AU - Olazar, M. AU - Bilbao, J. PY - 2015 DA - 2015// TI - Fast characterization of biomass fuels by thermogravimetric analysis (TGA) JO - Fuel VL - 140 UR - https://doi.org/10.1016/j.fuel.2014.10.024 DO - 10.1016/j.fuel.2014.10.024 ID - Saldarriaga2015 ER - TY - JOUR AU - Sevilla, M. AU - Fuertes, A. B. PY - 2009 DA - 2009// TI - The production of carbon materials by hydrothermal carbonization of cellulose JO - Carbon VL - 47 UR - https://doi.org/10.1016/j.carbon.2009.04.026 DO - 10.1016/j.carbon.2009.04.026 ID - Sevilla2009 ER - TY - JOUR AU - Seyedsadr, S. AU - Al Afif, R. AU - Pfeifer, C. PY - 2018 DA - 2018// TI - Hydrothermal carbonization of agricultural residues: a case study of the farm residues-based biogas plants JO - Carbon Resour Convers VL - 1 UR - https://doi.org/10.1016/j.crcon.2018.06.001 DO - 10.1016/j.crcon.2018.06.001 ID - Seyedsadr2018 ER - TY - JOUR AU - Sheng, C. AU - Azevedo, J. PY - 2005 DA - 2005// TI - Estimating the higher heating value of biomass fuels from basic analysis data JO - Biomass Bioenerg VL - 28 UR - https://doi.org/10.1016/j.biombioe.2004.11.008 DO - 10.1016/j.biombioe.2004.11.008 ID - Sheng2005 ER - TY - STD TI - Silakova M (2018) Hydrothermal carbonization of the tropical biomass. ID - ref52 ER - TY - JOUR AU - Stemann, J. AU - Erlach, B. AU - Ziegler, F. PY - 2013 DA - 2013// TI - Hydrothermal carbonisation of empty palm oil fruit bunches: laboratory trials, plant simulation, carbon avoidance, and economic feasibility JO - Waste Biomass Valori VL - 4 UR - https://doi.org/10.1007/s12649-012-9190-y DO - 10.1007/s12649-012-9190-y ID - Stemann2013 ER - TY - JOUR AU - Tekin, K. AU - Karagöz, S. AU - Bektaş, S. PY - 2014 DA - 2014// TI - A review of hydrothermal biomass processing JO - Renew SustEnerg Rev VL - 40 UR - https://doi.org/10.1016/j.rser.2014.07.216 DO - 10.1016/j.rser.2014.07.216 ID - Tekin2014 ER - TY - JOUR AU - Teodorescu, L. AU - Sherwood, D. PY - 2008 DA - 2008// TI - High energy physics event selection with gene expression programming JO - Comput Phys Commun VL - 178 UR - https://doi.org/10.1016/j.cpc.2007.10.003 DO - 10.1016/j.cpc.2007.10.003 ID - Teodorescu2008 ER - TY - JOUR AU - Uzun, H. AU - Yıldız, Z. AU - Goldfarb, J. L. AU - Ceylan, S. PY - 2017 DA - 2017// TI - Improved prediction of higher heating value of biomass using an artificial neural network model based on proximate analysis JO - BioresourTechnol VL - 234 UR - https://doi.org/10.1016/j.biortech.2017.03.015 DO - 10.1016/j.biortech.2017.03.015 ID - Uzun2017 ER - TY - JOUR AU - Vargas-Moreno, J. AU - Callejón-Ferre, A. AU - Pérez-Alonso, J. AU - Velázquez-Martí, B. PY - 2012 DA - 2012// TI - A review of the mathematical models for predicting the heating value of biomass materials JO - Renew SustEnerg Rev VL - 16 UR - https://doi.org/10.1016/j.rser.2012.02.054 DO - 10.1016/j.rser.2012.02.054 ID - Vargas-Moreno2012 ER - TY - JOUR AU - Volpe, M. AU - Goldfarb, J. L. AU - Fiori, L. PY - 2018 DA - 2018// TI - Hydrothermal carbonization of Opuntia ficus-indica cladodes: role of process parameters on hydrochar properties JO - BioresourTechnol VL - 247 UR - https://doi.org/10.1016/j.biortech.2017.09.072 DO - 10.1016/j.biortech.2017.09.072 ID - Volpe2018 ER - TY - JOUR AU - Wang, T. AU - Zhai, Y. AU - Zhu, Y. AU - Li, C. AU - Zeng, G. PY - 2018 DA - 2018// TI - A review of the hydrothermal carbonization of biomass waste for hydrochar formation: Process conditions, fundamentals, and physicochemical properties JO - Renew SustEnerg Rev VL - 90 UR - https://doi.org/10.1016/j.rser.2018.03.071 DO - 10.1016/j.rser.2018.03.071 ID - Wang2018 ER - TY - BOOK AU - Wasserman, P. D. PY - 1993 DA - 1993// TI - Advanced methods in neural computing PB - Wiley CY - New York ID - Wasserman1993 ER - TY - JOUR AU - Wiedner, K. AU - Naisse, C. AU - Rumpel, C. AU - Pozzi, A. AU - Wieczorek, P. AU - Glaser, B. PY - 2013 DA - 2013// TI - Chemical modification of biomass residues during hydrothermal carbonization–What makes the difference, temperature or feedstock? JO - Org Geochem VL - 54 UR - https://doi.org/10.1016/j.orggeochem.2012.10.006 DO - 10.1016/j.orggeochem.2012.10.006 ID - Wiedner2013 ER - TY - JOUR AU - Xiong, J. -. B. AU - Pan, Z. -. Q. AU - Xiao, X. -. F. AU - Huang, H. -. J. AU - Lai, F. -. Y. AU - Wang, J. -. X. AU - Chen, S. -. W. PY - 2019 DA - 2019// TI - Study on the hydrothermal carbonization of swine manure: The effect of process parameters on the yield/properties of hydrochar and process water JO - J Anal Appl Pyrolysis VL - 144 UR - https://doi.org/10.1016/j.jaap.2019.104692 DO - 10.1016/j.jaap.2019.104692 ID - Xiong2019 ER - TY - JOUR AU - Xu, Q. AU - Qian, Q. AU - Quek, A. AU - Ai, N. AU - Zeng, G. AU - Wang, J. PY - 2013 DA - 2013// TI - Hydrothermal carbonization of macroalgae and the effects of experimental parameters on the properties of hydrochars JO - ACS Sustain Chem Eng VL - 1 UR - https://doi.org/10.1021/sc400118f DO - 10.1021/sc400118f ID - Xu2013 ER - TY - JOUR AU - Yang, Y. AU - Zhang, Q. PY - 1997 DA - 1997// TI - A hierarchical analysis for rock engineering using artificial neural networks JO - Rock Mech Rock Eng VL - 30 UR - https://doi.org/10.1007/BF01045717 DO - 10.1007/BF01045717 ID - Yang1997 ER - TY - JOUR AU - Zhang, Z. AU - Pang, S. PY - 2019 DA - 2019// TI - Experimental investigation of tar formation and producer gas composition in biomass steam gasification in a 100 kW dual fluidised bed gasifier JO - Renew Energy VL - 132 UR - https://doi.org/10.1016/j.renene.2018.07.144 DO - 10.1016/j.renene.2018.07.144 ID - Zhang2019 ER - TY - JOUR AU - Zhu, Y. AU - Si, Y. AU - Wang, X. AU - Zhang, W. AU - Shao, J. AU - Yang, H. AU - Chen, H. PY - 2018 DA - 2018// TI - Characterization of hydrochar pellets from hydrothermal carbonization of agricultural residues JO - Energ Fuel VL - 32 UR - https://doi.org/10.1021/acs.energyfuels.8b02484 DO - 10.1021/acs.energyfuels.8b02484 ID - Zhu2018 ER -