空气板线馈电网络具有损耗小、耐功率高、幅相控制容易等特点而广泛应用于平面阵列天线中。
The air stripline feeding network is featured with low loss, high power capacitance, and it is easy to control its amplitude and phase.
本文将BP神经网络控制应用到静止式进相器中，取得良好的效果。
This paper applied BP neural network control to the Static Phase Generator, and achieved good results.
采用了神经网络PID自适应控制方法，改善了 非线性，降低了环境干扰的影响，提高了压电式 移相器的性能。
Neural network PID adaptive control scheme was used to enhance the performance of piezoelectric phase shifter by improving the nonlinear performance and depressing the interference of environment.
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.
空气板线馈电网络由于具有损耗小、耐功率高、幅相控制容易等特点而广泛应用于平面阵列天线中。
The air stripline feeding network is featured with low loss, high power capacitance, and it is easy to control its amplitude and phase.
针对异步电动机直接转矩控制系统，基于三相异步电机方程提出一种新型的采用人工神经网络辨识电机转速的方法。
The paper presents a novel speed identification scheme based on the BP Neural Network for the DTC motor drive system.
讨论了基于神经网络对电弧炉电极进行智能控制的方法，运用神经网络的BP、RBF以及双隐层BP模型，分别对电弧炉电极的单相电流及三相电流进行了分析和仿真。
The method of intelligent control based on neural network is applied in electrode current of arc furnace. The electrode current is analyzed and simulated by the BP and RBF models of neural network.
一种移动网络包括与中心基站控制器(BSC)节点(9)相链接的远程基站收发信机(BTS)节点(3,4)。
A mobile network comprises remote base transceiver station (BTS) nodes (3, 4) linked with a central base station controller (BSC) node (9).
一种移动网络包括与中心基站控制器(BSC)节点(9)相链接的远程基站收发信机(BTS)节点(3,4)。
A mobile network comprises remote base transceiver station (BTS) nodes (3, 4) linked with a central base station controller (BSC) node (9).
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