This decoupling of the requester and the provider creates a degree of independence between the two, from both a message format perspective and from a network protocol perspective.
请求者与提供者的这个分离带来了二者之间一定的独立性，从消息格式和网络协议的角度均是如此。
A fuzzy decoupling algorithm based on system characteristic parameters and an expert system of BP network based on repetitive verification are established.
提出基于系统特征参数提取的模糊解耦算法，以BP网络构成基于重复检验的专家系统。
The decoupling and level control of the three-tank system is implemented by using fuzzy neural network decoupling technology.
本文采用模糊-神经网络解耦控制技术实现了对三容系统的解耦及液位控制。
According to the running features of supercritical once-through boiler, the article proposes a neural network decoupling control method.
本文针对超临界直流锅炉运行特性，提出了一种神经网络解耦控制方法。
By using the power element models established on symmetrical component decoupling - compensation theory, a network model with algorithm suitable for harmonic flow calculation is developed.
利用建立在对称分量解耦-补偿理论基础上的电力元件模型，提出了适用于谐波潮流计算的网络模型和算法。
Adopting new type diagonal regression neural network to identify the system model, the parameters of PID controller have been set, and the multi -variable decoupling control being realized.
采用新型对角回归神经网络来辩识系统模型，可对PID控制器参数进行整定，实现多变量解耦控制。
A multiple models neural network decoupling controller is designed to control the multivariable nonlinear discrete time system.
针对多变量非线性离散时间系统设计多模型神经网络解耦控制器。
The least square theory-based static linear decoupling method is studied, and a new static decoupling method based on BP artificial neural network is proposed.
在研究基于最小二乘理论的多维力传感器静态线性解耦方法的同时，提出了一种基于BP神经网络的静态非线性解耦方法。
Simulating results prove that neural network decoupling control is satisfactory in the system with uncertain parameters.
实验结果表明，神经网络可以使对象不确定的耦合系统实现解耦控制，效果令人满意。
A neural network multivariable simple adaptive control (NNMSAC) is proposed, disposing of decoupling control with looper system in hot strip mill.
针对现代带钢热连轧中活套系统的解耦控制问题，提出了基于神经网络简单自适应多变量解耦控制方法(NNMSAC)。
This thesis propose an adaptive fuzzy control method based on BP neural network decoupling for typical thermodynamic processes and study the control system.
本文将针对这一热工过程，提出基于BP神经网络解耦的自适应模糊控制方法。
A quite equivalent decoupling method based on branch node for fault location in distribution network is presented.
提出了一种按分支节点完全等效解耦的配电网故障定位新方法。
This paper focus on decoupling control based on Neural Network.
本文主要进行了基于神经网络的解耦控制研究。
A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.
双级神经网络的前馈解耦控制提出了具有时变，非线性，不确定性和多变量耦合发酵过程中。
A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.
双级神经网络的前馈解耦控制提出了具有时变，非线性，不确定性和多变量耦合发酵过程中。
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