网络武器

人们后来还发现了美国和以色列制造的其他网络武器，如Flame和Gauss。

Later discoveries included other U.S. - Israeli cyber weapons called Flame and Gauss .

机器人技术、基因工程和网络武器可能被滥用；

the potential abuse of robotics , genetic engineering and cyber weapons ;

而现在政府正在大宗购买网络武器。

And right now , the government is bulking up on cyberarms .

这这些公司都希望从日益扩大的美国网络武器预算中分一杯羹。

The companies are all hoping to get a piece of the growing US budget for cyberarms .

然而，随着各国政府和国防企业把更多注意力放在网络武器上，一个黑客市场已经形成。

Yet as governments and defence groups focus more on cyber arms , a market has developed for the talents of hackers .

我们很难禁止网络武器的使用，因此对网络武器囤积和战术进行限制是合乎逻辑的最终诉求。

Cyber weapons beg to be used , so limits on stockpiles , and restrictions on tactics , are a logical end point .

人们对美国可能随时会在方便之时动用网络武器的猜测，将令美国向其它国家施压、使之在意图上保持透明的努力付诸东流。

Suspicion that the US uses cyber ­ weapons whenever convenient will hamper its attempts to press other states to be transparent about their intentions .

许多国家正在研发攻击性的网络武器，包括中国，以色列，美国，这些国家均因使用这些武器受到指责。

Many countries are developing offensive cyber weapons , and some , including China , Israel and the United States have been accused of using them .

美国必须申明，它只会在极其特殊的情况下动用网络武器，并将遵守与动用常规武力相同的规则和标准。

It must demonstrate that its use of cyberweapons will be extremely rare and subject to the same rules and standards as the conventional use of force .

为了提高目标识别准确度，在网络武器系统中使用了多传感器信息融合技术。

It is a intelligent weapon system . In order to improve the accuracy of target identification , the multi-sensor data fusion technology is used in NWS .

基于BP网络的武器装备参数估算

Parameter Estimation of Weapon Material Based on BP Neural Network Approach

基于改进BP网络的武器效能评估专家系统

An expert system for weapon effectiveness evaluation based on improved BP neural network

基于Rough集理论和神经网络的武器系统参数费用模型

Weapon System 's Parameter-cost Model Based on Rough Set Theory and Neural Network

介绍了一种基于改进BP网络的武器效能评估专家系统。

An expert system for weapon effectiveness evaluation based on improved BP neural network is introduced in this paper .

基于串联QFD神经网络的武器装备使用需求映射方法

Equipment Application Demand Mapping Method Based on Serial QFD Neural Network

前向神经网络的武器装备水平评估

A Study of Weapon Level Year 's Evaluation Based on the Forward Neural Network

显然，网络化武器装备制造资源的管理是整个扩散制造系统的基础。

Obviously , how to manage manufacturing resources for weapons manufacturing in internet is base of REMS .

网络化武器装备制造资源作为具体功能单元，对其描述、检索和配置的有效与否直接影响到武器装备扩散任务执行的效果。

Weapons manufacturing resource is a specific functional unit , the way of description , search and configuration about manufacturing resources influence directly on weapon production .

基于神经网络的FAE武器威力设计专家系统

Expert System of FAE Weapon Power Based on Neural Network

由于这些特点，CPT原子频标在远程通讯系统定时、大范围通讯网络同步、武器装备的便携化等军、民用方面具有很好的应用前景。

Because of these advantages , it is believed that CPT frequency standards are promiseful in long-term application in military and civilian area , such as long-distance communication systems timing , large-area network synchronization and the portability of weapons and equipment .

基于小波神经网络的导弹武器装备研制费用预测

Development Cost Predicting of Missile Equipment Based on Wavelet Neural Network

基于无线网络的大型武器装备故障诊断系统

Fault Diagnosis System for Large-Scale Weapon Equipment Based on Wireless Network

基于神经网络的轨道武器再入制导研究

Study of Reentry Guidance of Maneuverable Weapon Based on Neural Network

结合规则知识与神经网络于空袭武器的辅助选择

Coordinate Rule and Neural Network for Computer Aided Air-Raid-Weapon Selection

基于贝叶斯网络的机载武器系统综合决策

Integrated Decision for Airborne Weapon Systems Based on Bayesian Networks

基于神经网络的坦克武器系统作战效能评估

Evaluation of the Tank Weapon System Combat Efficiency Based on the Nerve Network

基于神经网络的导弹武器系统可靠性分析

Reliability Analysis of Missile Weapon System Based on NN

应用神经网络评估舰载武器系统作战效能

Evaluation of Ship-borne Weapons Efficiency by ANN Model

中国可能会把为美国消费者开发更快的电脑和高速通信设备的电子实力变成网络攻击的武器。

China could turn its electronic prowess developing ever-faster computers and high-speed communications equipment for American consumers into cyberweaponry .

为此，利用计算机网络，开发武器装备质量监测系统，将有效地提高我军的整体作战效能。因此对其进行安全监测具有重要的意义。

Therefore , making use of computer and internet , developing quality monitoring and testing system in military equipment will improve the whole campaign efficiency effectively .