在闭排队网络服务策略的优化中，基于对系统一条样本轨道的仿真进行策略优化是一种很有实用意义的方法。
In the optimization of service policy for closed queuing networks, the method of optimizing policy that is based on single sample path of the systems is of practical interest.
基于分布式交互仿真的视景仿真系统，对仿真结点的图形和网络处理能力提出较高的要求，需要在建模和算法上进行优化。
The visual simulation based on DIS raises a high demand on the graphics and the net processing ability of the simulation nodes, thus optimization in the modeling and choice of algorithms are required.
基于这两种模型，我们提出了一种用于故障诊断的联想搜索网络，并把它应用于一个锅炉给水装置的控制系统故障诊断上，最后给出了计算机的仿真结果。
Based on these two models, we propose an associative search algorithm for fault diagnosis and apply it to a control system. At last, the simulation results are given out.
文中运用面向对象的VC编程环境，编制了基于贝叶斯网络的态势威胁评估系统模块的图形化仿真软件。
Finally, the software was made, in the VC program environment, about the emulation mode of combine the situation assessment and threat estimate with the Bayesian net.
分析比较了当前研究织物风格的几种重要方法：基于神经网络的织物风格识别系统、灰度关联分析法和物理仿真技术等。
The current methods for fabric handling research were introduced, such as identification systems based on artificial neural networks, the grey relational analysis and physical emulation and so on.
文章针对水电仿真系统中水轮发电机机组的非线性动态数学模型建模复杂问题，提出了一种基于信息融合思想的神经网络模型。
Aiming at problematic complexity of the nonlinear dynamic mathematical modeling of generator in the hydro-electric simulation system, a neural network based on information fusion is brought forward.
在此基础上提出了基于模糊神经网络控制的调距桨控制系统的设计，仿真试验结果表明了调距桨控制系统设计的合理性。
The controllable pitch propeller control system based on fuzzy and neural network control is proposed, the result shows that the system design is feasible and effective.
并对装设有svc的两区域四机电力系统进行计算机数字仿真，结果表明基于神经网络逆系统方法设计出的复合非线性控制器可以有效地改善SVC控制性能。
The simulation of the two-area four-machine SVC system verifies that the compound nonlinear controller designed by the proposed method can effectively improve the control ability of SVC system.
仿真实验表明，基于多步预测的PID型神经网络控制系统能有效抑制随机干扰，具有较强的适应性和鲁棒性。
Simulation res ults prove that this new multi-step prediction based on PID-like neural network control system can effectively attenuate random noise interference and is more robust and adaptive.
通过计算机仿真，文中还给出了基于传统控制理论的伺服跟踪系统和用神经网络构建的伺服跟踪系统的仿真结果。
Then simulation of servo system based on both traditional control theories and neural network method is carried out separately and result of comparison is given.
采用计算机仿真技术建立了四边夹支矩形板裂纹损伤的标准谱 ，并研制出相应的基于人工神经网络的裂纹诊断系统。
The standard samples of rectangle thin plate including crack fixed at four sides is set up with computer imitation technic, and the crack diagnosis system based on neural network is developed.
根据算法编制了程序，对所提出基于蚁群算法的无线传感器网络分簇路由算法进行系统仿真实验。
The program is developed according to the algorithm, system simulation is conducted on the proposed wireless sensor network routing algorithm that based on ant colony algorithm.
并与国内外研究较多的无刷直流电机的基于自适应PID、模糊控制、神经网络控制、PID控制的双闭环控制系统进行仿真对比实验。
Simulation experiment compared with the double-loop motor subject to adaptive PID control, fuzzy control, neural-network control and conventional PID control is presented.
通过计算机仿真，文中还给出 了基于传统控制理论的伺服跟踪系统和用神经网络构建的伺服跟踪系统的仿真结果。
Then simulation of servo system based on both traditional control theories and neural network methoe is carried out separarely and result of comparison is given.
仿真验证试验结果表明所设计的基于人工神经网络的电力电子逆变电路的故障诊断系统是可行的。
The well-designed training set was verified by simulation test. The simulation result proved that the model was correct and the diagnosis method was feasible.
介绍了基于虚拟现实技术和网络通信技术的飞机主动控制三维视景仿真系统的组成、工作原理和实现的过程。
The structure and principle of active control technology (ACT) for VR 3D simulation system are discussed, which is based on virtual reality technology and network communication technology.
介绍了基于虚拟现实技术和网络通信技术的飞机主动控制三维视景仿真系统的组成、工作原理和实现的过程。
The structure and principle of active control technology (ACT) for VR 3D simulation system are discussed, which is based on virtual reality technology and network communication technology.
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