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Bioresources and Bioprocessing
Fig. 1 | Bioresources and Bioprocessing

Fig. 1

From: Prediction of phenolic compounds and glucose content from dilute inorganic acid pretreatment of lignocellulosic biomass using artificial neural network modeling

Fig. 1

The flow diagram of the development of ANN model (A) and the topology structure of ANN model (B) to predict the glucose concentration (CGlc) and total phenolic content (CPhe) in biomass hydrolysate after dilute inorganic acid pretreatment and 72 h enzymatic processes. A NP, network performance; TP, target performance of network; NN, neural network. B b1,j, the bias of inputs (j = 1, 2, 3, …, n); b2,k, the bias of output layer (k = 1, 2)

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