抽象逼近
- 网络abstract approximation
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仿真结果表明,在生成树拓扑抽象中使用此逼近算法后,可大大减少源节点由于拓扑信息不准确而产生的路由决策错误数,提高网络性能。
Simulation results show that the proposed algorithm can greatly reduce the routing decision errors of the source nodes due to inaccurate topology information , and improve network performance .
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本文根据目前我国啤酒瓶回收使用的实际,利用神经网络具有获取知识、存储知识的知识抽象能力和函数逼近及记忆能力,研究对啤酒瓶质量检测的可能性。
Based on the present reality of reclaiming beer bottle in our country , using the ability of obtaining 、 storing and abstraction of knowledge and the ability of closing to the function in Artificial Neural Network , the possibility of testing beer bottle by Artificial Neural Network was studied .
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其中第二章定义并研究了实Banach空间取值的抽象三级周期有界变差函数用抽象系数三角多项式逼近的性质。
In chapter 2 , we define the abstract periodic three level bounded variation functions with range in a Banach space ? and study the property on approximating it by trigonometric polynomials with abstract coefficients from E.