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Original Articles

Application of Artificial Neural Network to Predict K-Value, Inosine Mono-Phosphate, and Hypoxanthine Concentrations of Grass Carp (Ctenopharyngodon idellus) Fillets During Storage

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Pages 2693-2706 | Received 01 Sep 2015, Accepted 10 Jan 2016, Published online: 25 Aug 2016

Figures & data

FIGURE 1 ANN structure for predicting K-value and IMP, Hx concentrations of grass carp fillets during storage.

FIGURE 1 ANN structure for predicting K-value and IMP, Hx concentrations of grass carp fillets during storage.

TABLE 1 Changes in the AMP-deaminase activity (U/mL) of grass carp fillets stored at 273, 277, 281, 288, and 293 K

FIGURE 2 Changes in IMP, Hx concentrations, and K-value of grass carp fillets stored at 273, 277, 281, 288, and 293 K.

FIGURE 2 Changes in IMP, Hx concentrations, and K-value of grass carp fillets stored at 273, 277, 281, 288, and 293 K.

TABLE 2 Mean squared error (MSE) in the prediction of K-value, IMP, and Hx concentrations of grass carp with different numbers of neurons in the hidden layer

TABLE 3 Training, validation, and test data used in the development of ANN

FIGURE 3 Correlation of predicted and experimental (a) K-value, (b) IMP, and (c) Hx concentrations with training and validation data, as well as the test data for grass carp fillets during storage using the optimal ANN.

FIGURE 3 Correlation of predicted and experimental (a) K-value, (b) IMP, and (c) Hx concentrations with training and validation data, as well as the test data for grass carp fillets during storage using the optimal ANN.

TABLE 4 Relative errors (%) between predicted and experimental values of K-value of grass carp fillets stored at 281 K

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