| 1. | On local convergence of
迭代的局部收敛性 |
| 2. | Because of ga ' s advantage of globally searching , it can avoid ann ' s problem of local convergence . thus the advantages of both ga and ann are brought into play completely
遗传算法有全局搜索的特点，可以避免神经网络局部收敛的问题，充分发挥遗传算法和神经网络各自的优势。 |
| 3. | And then , the eight - parameter 2d projection model is optimized by ga , including adjusting genetic operators to eliminate the local convergence and premature convergence problem
接着本文采用遗传算法优化二维投影模型的8个参数，通过调整遗传算子来消除局部收敛和末成熟收敛问题。 |
| 4. | By giving some properties of the double dogleg path , we prove the global convergence and fast local convergence rate of the proposed algorithm under some reasonable conditions
通过给出双折线路径的一些性质，在合理的条件下，我们证明了所提供算法具有整体收敛性并得到局部收敛速率。 |
| 5. | The local convergence theorem is important because it shows the property of the iterative method near the solution , but the shortcoming is that its codition depends on the unknown solution
局部收敛性定理固然很重要，因为它不仅提供了一个关于收敛性的结果，而且还表征着某些迭代过程在一个解的邻域内的理论性态。 |
| 6. | In order to avoid the slow - convergence and local convergence of traditional genetic algorithm , an improved genetic algorithm - several populations competed genetic algorithm was proposed in this paper
摘要在指出传统遗传算法收敛中所存在的收敛速度慢及局部收敛问题的基础上，引入了一种新的改进遗传算法多种群竞争遗传算法。 |
| 7. | Aim at bp arithmetic shortcoming of tend plunging local minimum value , applied amelioration inherit arithmetic in taking object as the approach of searching information to overcome local convergence of nn
针对bp算法具有易于陷入局部最小值的缺点，应用改进遗传算法直接以目标函数值作为搜索信息途径，克服神经网络的局部收敛的缺陷。 |
| 8. | In this paper , we study the convergences of random dirichlet series by the local convergence of random variable and the strong law of large numbers , and obtain some simple and explict formulae on abscissa of convergence
该文是利用随机变量序列的局部收敛性及强大数定律研究了随机狄里克莱级数的收敛性，得出了它的收敛横坐标的简洁公式 |
| 9. | Abstract : in this paper , we study the convergences of random dirichlet series by the local convergence of random variable and the strong law of large numbers , and obtain some simple and explict formulae on abscissa of convergence
文摘:该文是利用随机变量序列的局部收敛性及强大数定律研究了随机狄里克莱级数的收敛性，得出了它的收敛横坐标的简洁公式 |
| 10. | The empirical issue of income convergence has been concluded that there appears to be local convergence without global convergence , once different factors are controlled for , the evidence then points to the existence of conditional convergence
经验研究表明，世界上只有局部趋同而没有全球?围内的趋同，一旦对不同的要素变量加以控制，将出现条件趋同。 |
