| 1. | Above , i discussed bi - directional and uni - directional associations
在上面，我讨论了双向关联和单向关联。 |
| 2. | The method of mining bidirectional association rules based on genetic algorithm
基于遗传算法的双向关联规则挖掘 |
| 3. | A bi - directional association is indicated by a solid line between the two classes
一个双向关联用两个类间的实线表示。 |
| 4. | On bi - directional association and harmonious development between education and economy
论教育与经济的双向关联及协调发展 |
| 5. | Figure 6 : an example of a bi - directional association between a flight class and a plane class
图6 ：在一个flight类和plane类之间的双向关联的实例 |
| 6. | The paper introduces the bidirectional association rules , and implements the method of mining bidirectional association rules based on genetic algorithm
文章引入了双向关联规则的概念，实现了基于遗传算法的双向关联规则挖掘算法。 |
| 7. | Input - output relation is the basis of association between education and economy , forward link and backward link are the basic ways , and bi - directional association makes it special and complicated
投入产出关系是教育与经济关联的基础，前向联系和后向联系反映了教育与经济关联的基本方式，而双向关联特征使教育与经济的关联具有了特殊性和复杂性。 |
| 8. | Input - output relation is the basis of association between education and economy ; forward link and backward link are the fundamental ways of their association and the hi - directional association demonstrates peculiarity and complexity
投入产出关系是教育与经济关联的基础，前向联系和后向联系反映了教育与经济关联的基本方式，而双向关联特征使教育与经济的关联具有了特殊性和复杂性。 |
| 9. | Like standard associations , the uni - directional association includes a role name and a multiplicity value , but unlike the standard bi - directional association , the uni - directional association only contains the role name and multiplicity value for the known class
如同标准关联，单向关联包括一个角色名和一个多重值描述，但是与标准的双向关联不同的时，单向关联只包含已知类的角色名和多重值描述。 |
| 10. | Chapter 2 different to the stability of the 1 chapter , we studied the stability of ? gain stability . we have known that though the system have lyapnov stability it may be not have ? gain stability . it is necessary to discuss the ? gain stability . chapter 3 we discuss the exponential stability of a new hopfield neural network : bam neural network
第三章，利用dini导数、不等式以及lyapunov函数方法等工具对当今研究的一类热点神经网络， （ bam ）双向关联的神经网络的指数渐近稳定性作了研究，得到了其指数渐近稳定的条件 |
