The main procedure is predicting the demand of waterway transport by establishing balance model of transport ability and quantity in computer . this method is disciplinary and operative 它的主要步骤是:预测出水运需求量,建立运力运量平衡模型,在用计算机进行优化求解。
Digital image processing , i . e . image processing with computer , as a usual , the image ca n ' t be analyzed by computer immediately because computer only can processes digital but not image . so an image must be converted digital before it be recognized 在自然的形态下,图像并不能直接由计算机分析,因为计算机只能处理数字,而不是图片,所以一幅图像在用计算机进行处理前必须先转化为数字形式。
A formula algorithm for saddle quantities is given and used for the first time . with forcing only addition , subtraction , multiplication and division to the coefficients of system ( 1 ) , the m - th quantity of singular point can be deduced and expressed directly in the coefficient of the system 对任意正整数m ,在用计算机程序推导原点的第m个奇点量(焦点量、鞍点量)时,只需以系统右端系数为符号进行有限次加、减、乘、除的四则运算和符号推导,并且奇点量直接由原系统系数表示。
Nowadays , much more work about the research and design of a ship stowage system focuses on stowage calculation by computer than on fully automatic stowage , and some ship stowage systems could make automatic stowage come true , but they only limit in such aspects of stowage as ship stability or trim 当前,有关船舶配载系统的研究和设计主要集中在用计算机解决配载计算问题,关于船舶自动配载的研究还比较少。从提高配载的效率来讲,设计一个能满足船舶及货物各方面要求的自动配载系统是十分必要的。
Chapter 4 discusses how to stabilize a class of time - delays neural networks via standard feedback control ; this kind of neural networks provides a unified view of several well - known neural networks ( such as hopfield neural networks and cellular neural networks ) with discrete delays or distributed delays . a stability criterion is given by using the lyapunov method . all the results obtained in this chapter are stated in simple algebraic forms so that their verifications and applications are straightforward and convenient 通过使用lyapunov方法,我们得到了一类时延神经网络经过标准反馈控制后的稳定条件,这类神经网络涵盖了几种著名的神经网络,如hopfield神经网络、细胞神经网络,同样,本章所得到的结论也是简单的代数表达式,使用非常方便,最后在用计算机通过做数值实验对这些结论进行了验证。
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