Solid mass rate at different gas flow is forecasted by using improved BP neural network in dense phase pneumatic conveying.
结果表明,BP网络能对不同实验条件下的固体质量流率进行较好的预测。
Solid mass rate at different gas flow is forecasted by using improved BP neural network in dense phase pneumatic conveying.
结果表明,BP网络能对不同实验条件下的固体质量流率进行较好的预测。
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