The degradation kinetic model of head rice yield was developed using Artificial NeuralNetwork (ANN).

用人工神经网络研究了稻谷出米率的退化动力学模型。

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Lastly, timbering parameter is studied by utilizing Artificial NeuralNetwork (ANN), and put forward using Discrete Element Method (DEM) to confirm 2nd support time.

最后，利用人工神经网络原理，对其支护参数进行了研究，并提出了利用离散元来确定二次支护时间的方法。

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Lastly, timbering parameter is studied by utilizing Artificial NeuralNetwork (ANN), and put forward using Discrete Element Method (DEM) to confirm 2nd support time.

最后，利用人工神经网络原理，对其支护参数进行了研究，并提出了利用离散元来确定二次支护时间的方法。

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