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。
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。
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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