不过为了保持优势，美国需强化其前沿基地，在导弹防御和潜艇方面投入资金，并对抗中国在非对称电子战、网络战以及太空战领域的能力。
But to retain that advantage, America will need to harden its forward bases, invest in missile defence and submarines and counter China’s capacity in asymmetric electronic, cyber and space warfare.
一个理所当然的假设就是，位于导弹部队驻地附近的大量形成网络的地下工事和发射阵地就是用来保护、存贮、以及转运这些东西的。
The logical assumption is that the vast network of UGFs located near the missile garrisons and launch sites are used to protect, store, and transfer these items.
该战略涵盖了层层相叠的多级空中防御系统、海军装备如潜水艇以及先进的弹道导弹系统，所有这些在卫星网络的控制下交织在一起。
The strategy includes overlapping layers of air defense systems, naval assets such as submarines, and advanced ballistic missile systems all woven together with a network of satellites.
根据WSEIAC模型建立了地面防空导弹武器系统效能评估的指标体系，并依此模型建立与之对应的三层BP神经网络。
According to the WSEIAC model, an index hierarchy of ground antiaircraft missile armament system's efficiency has been developed, and its corresponding three BP nerve network was established.
在导弹的可靠性分析过程中，经常要用到最小割集，而对于复杂的可靠性网络，怎样通过求解其最小路集并由其化为最小割集呢？
In the course of the missile reliability analysis, the minimum cut set is usually used, yet, how is tne minimum path set solved and it converted the minimum cut set to the complex reliability network?
为了解决图像制导导弹目标识别实时性的问题，给出了基于SOM -BP人工神经网络方法。
Aiming at the real time ability of TV guide missile target establishing, in this paper the new method is established based on SOM-BP artificial neural network.
文中提出了一种更有效的前向BP神经网络，考虑了导弹成本中的一些非确定性的影响因素，建立了导弹成本的估算模型。
Considering some uncertain influencing factors in the missile cost estimation, this paper provides a more effective BP neural network to set up the estimation model of the missile cost.
针对地空导弹电源系统的九种主要故障，分别用BP神经网络和SOFM神经网络对其进行了故障诊断，均取得了较好的效果。
Nine major kinds of fault in electrical source system of surface-to-air missile have been diagnosed respectively through BP and SOFM neural network, and pleasing results are obtained.
在导弹系统存在广义不确定性情况下，提出了一种基于反演设计技术和RBF神经网络的导弹非线性自适应控制系统设计方法。
Based on RBF neural networks and backstepping control techniques, a nonlinear adaptive controller design method is proposed for missile control systems with a general set of uncertainties.
在导弹系统存在非匹配不确定性的情况下，提出了一种基于RBF神经网络和反演控制技术的神经网络自适应导弹控制系统的设计方法。
In this paper, a nonlinear adaptive control scheme for missile control system with mismatched uncertainties is proposed on the basis of RBF neural networks and inverse control technology.
阐述了在导弹系统存在不确定性情况下，基于自适应反演控制技术和模糊神经网络理论，提出了一种导弹滑模控制系统设计方法。
Based on adaptive backstepping control techniques and fuzzy-neural theory, a sliding mode control scheme is proposed for missile control systems with uncertainties.
阐述了在导弹系统存在不确定性情况下，基于自适应反演控制技术和模糊神经网络理论，提出了一种导弹滑模控制系统设计方法。
Based on adaptive backstepping control techniques and fuzzy-neural theory, a sliding mode control scheme is proposed for missile control systems with uncertainties.
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