探讨了通过采用BP神经网络技术对库存进行管理的新的理念和方法,以达到消除企业的高库存现象和提高顾客服务水平的目的。
To eliminate the enterprises' high inventory and improve the customers' service, this paper discussed the new idea and method that manage the inventory by using the BP neural networks technology.
该方法能有效地消除人为的振荡现象,使消噪后的信号更加光滑,更好地逼近真实信号。
This method can suppress the artifacts effectively so that de_noised signal is more smooth and has better approximation to original signal.
建立了各因素间可以科学地选择适当的合订方法,以消除期刊合订本装订线附近区域复印印迹畸变现象的数学关系。
The formula can be used to choose scientifically an appropriate binding method to eliminate the duplicating distortion close by the binding line of volume bindings.
应用推荐