1) probabilistic overall situation
概率全局搜索
2) probabilistic local search
概率局域搜索
3) search probability
搜索概率
1.
In order to validate them,two models are built for calculating search probability ,and the caculation results are analyzed for determining the correct method.
从反潜直升机的搜潜过程入手,通过吊放声纳搜索参数的分析,得出了计算有效搜索面积的两种方法,为了验证这两种方法,建立了计算搜索概率的两种模型,并分别举例进行了计算,通过对计算结果的分析,找出了计算吊放声纳搜索面积的正确方法,最后分析了用解析模型和模拟模型计算搜索概率的优缺点,得出了有用的结论。
2.
Based on the known probable moving course of submarine targets, to search target in the finite domain, the definite second time submarine search models of dipping sonar such as curve search and sector search, submarine moving models, search probability model were built.
针对已知目标的大概航向,需在有限范围内确定目标存在区的情况下,建立了利用吊放声纳的扇形和弧形应召搜潜模型、潜艇运动模型、搜潜概率模型,仿真分析了潜艇初始航向、吊放声纳间距、搜索样式等因素对应召搜索概率的影响。
3.
Firstly,the model of search probability of every search path was established.
首先建立每段搜索路径中的搜索概率模型,再利用遗传算法对此模型进行优化,选取满足搜索概率最大的搜索器转向角。
4) probability search
概率搜索
5) searching probability
搜索概率
1.
Simulate and analyze the influences of such elements as the detecting spacing of searchers,moving velocity of submarine targets and course variation range on the searching probability of the searchers,and lay the foundation for systematical analysis and comparison of the searching efficiency of all kinds of searching methods for submarine targets.
水下运动目标搜索是工程应用中急需解决的一个实际问题,在已知某一目标的可疑初始位置后,目标的航向、航速将随机变化且未知,搜索器按照哪种搜索方式才能有效实现对水下目标的搜索,其搜索概率随哪些因素变化,都是需要深入研究的问题。
2.
Basing on the models,it discussed the effects of different speeds and evasion strategies on searching probability of dipped sonar.
在对反潜机的螺旋线搜索模型、吊放声纳的探测模型、潜艇的规避策略模型深入研究的基础上,分析讨论了潜艇航速的变化及采用不同规避策略对吊放声纳搜索概率的影响,并进行了仿真比较。
6) Global search
全局搜索
1.
The result of research shows that the DABP algorithm can enhance the speed of convergence,the calculation precision,the ability of global search and the forecast ability of the network.
针对BP算法收敛速度慢且存在局部极小值的问题,提出了基于扰动的加速神经网络DABP模型;研究结果表明,DABP模型提高了网络的收敛速度和计算精度,增强了全局搜索能力,达到了加速神经网络的训练效果,并提高了网络的预测能力。
2.
The results show that compared with the traditional ACA,the improved ACA has more global search capability and robu.
应用结果表明:针对啤酒配方优化问题,改进的蚁群算法,具有更强的全局搜索能力和鲁棒性,并易于实现,具有较好的应用价值。
3.
On the one hand,the hybrid algorithm provides global search(reliability) by means of the promotion of high levels of population diversity.
该算法由全局搜索和局部搜索模型组成,并将正交交叉运用于遗传操作产生的后代个体。
补充资料：全局
1.整个的局面。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条