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- W3198728857 endingPage "100148" @default.
- W3198728857 startingPage "100148" @default.
- W3198728857 abstract "Biomass consists of predominantly a biochemical mixture of three major lignocellulosic components: hemicellulose, cellulose, and lignin. The amounts of these three major polymeric components in biomass affect the functioning of thermochemical processes and thus affecting the efficiency of the biomass-based energy plants. On the other hand, experimental procedures for the hemicellulose, cellulose, and lignin determination are expensive, time-consuming, and not commercially viable. Recently, researchers are developing computational methods to minimize experimental procedures. Artificial neural network (ANN), which is a subset of machine learning, can develop relationships between input-output for non-linear and complex datasets. In this paper, we reported the first comprehensive study on estimating hemicellulose, cellulose, and lignin fractions of biomass using proximate analysis results on as received basis with a machine learning method. The ANN model performed a satisfactory performance for all the major biochemical components with the determination coefficient R2> 0.96." @default.
- W3198728857 created "2021-09-13" @default.
- W3198728857 creator A5044661006 @default.
- W3198728857 creator A5065481059 @default.
- W3198728857 date "2021-12-01" @default.
- W3198728857 modified "2023-10-16" @default.
- W3198728857 title "An improved machine learning approach to estimate hemicellulose, cellulose, and lignin in biomass" @default.
- W3198728857 cites W1260211884 @default.
- W3198728857 cites W1461308384 @default.
- W3198728857 cites W1963614637 @default.
- W3198728857 cites W1963794180 @default.
- W3198728857 cites W1964644141 @default.
- W3198728857 cites W1979907258 @default.
- W3198728857 cites W1981957107 @default.
- W3198728857 cites W1982462060 @default.
- W3198728857 cites W1983277035 @default.
- W3198728857 cites W1984438680 @default.
- W3198728857 cites W1985918195 @default.
- W3198728857 cites W1986667872 @default.
- W3198728857 cites W1987415646 @default.
- W3198728857 cites W1989021332 @default.
- W3198728857 cites W1991023958 @default.
- W3198728857 cites W1993195426 @default.
- W3198728857 cites W1999532812 @default.
- W3198728857 cites W2000056510 @default.
- W3198728857 cites W2000761731 @default.
- W3198728857 cites W2004020146 @default.
- W3198728857 cites W2005756655 @default.
- W3198728857 cites W2007225476 @default.
- W3198728857 cites W2008239616 @default.
- W3198728857 cites W2010997762 @default.
- W3198728857 cites W2013101694 @default.
- W3198728857 cites W2024394347 @default.
- W3198728857 cites W2024449667 @default.
- W3198728857 cites W2024563616 @default.
- W3198728857 cites W2027059273 @default.
- W3198728857 cites W2032856289 @default.
- W3198728857 cites W2034720766 @default.
- W3198728857 cites W2035095104 @default.
- W3198728857 cites W2038248183 @default.
- W3198728857 cites W2039860506 @default.
- W3198728857 cites W2040359359 @default.
- W3198728857 cites W2043065520 @default.
- W3198728857 cites W2044623264 @default.
- W3198728857 cites W2047604328 @default.
- W3198728857 cites W2050553434 @default.
- W3198728857 cites W2051952476 @default.
- W3198728857 cites W2051986502 @default.
- W3198728857 cites W2053685838 @default.
- W3198728857 cites W2057403790 @default.
- W3198728857 cites W2057645529 @default.
- W3198728857 cites W2058968456 @default.
- W3198728857 cites W2061865833 @default.
- W3198728857 cites W2064053848 @default.
- W3198728857 cites W2068741244 @default.
- W3198728857 cites W2071199793 @default.
- W3198728857 cites W2074384058 @default.
- W3198728857 cites W2081284811 @default.
- W3198728857 cites W2083155211 @default.
- W3198728857 cites W2087404240 @default.
- W3198728857 cites W2087566022 @default.
- W3198728857 cites W2087853826 @default.
- W3198728857 cites W2088696869 @default.
- W3198728857 cites W2091092743 @default.
- W3198728857 cites W2093774596 @default.
- W3198728857 cites W2105352289 @default.
- W3198728857 cites W2129746134 @default.
- W3198728857 cites W2133684787 @default.
- W3198728857 cites W2179733799 @default.
- W3198728857 cites W2190220037 @default.
- W3198728857 cites W2196729647 @default.
- W3198728857 cites W2219925702 @default.
- W3198728857 cites W2221577985 @default.
- W3198728857 cites W2237728284 @default.
- W3198728857 cites W2260513855 @default.
- W3198728857 cites W2293832536 @default.
- W3198728857 cites W2315970277 @default.
- W3198728857 cites W2316778834 @default.
- W3198728857 cites W2376171152 @default.
- W3198728857 cites W2462850040 @default.
- W3198728857 cites W2522572864 @default.
- W3198728857 cites W2555233125 @default.
- W3198728857 cites W2555523667 @default.
- W3198728857 cites W2557397324 @default.
- W3198728857 cites W2559478395 @default.
- W3198728857 cites W2594434222 @default.
- W3198728857 cites W2595514837 @default.
- W3198728857 cites W2605986812 @default.
- W3198728857 cites W2610232973 @default.
- W3198728857 cites W2610886376 @default.
- W3198728857 cites W2612456888 @default.
- W3198728857 cites W2618934323 @default.
- W3198728857 cites W2623923654 @default.
- W3198728857 cites W2745922677 @default.
- W3198728857 cites W2746265068 @default.
- W3198728857 cites W2757335701 @default.
- W3198728857 cites W2766962710 @default.
- W3198728857 cites W2769525181 @default.