To correct the power factor, the controlling effect of both neural network controller (NNC) and current mode controller (CMC) is researched in this paper.
为改善功率因数，对神经网络控制器(NNC)与电流模式控制器(CMC)的控制效果进行了仿真比较研究。
Applying neural network to predict structural response may solve the problem of time lag in active control and offer basis for controlling decision.
应用神经网络预测结构响应可以解决主动控制中的时滞问题，为控制决策提供依据。
Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system.
前馈神经网络由于具有理论上逼近任意非线性连续映射的能力，因而非常适合于非线性系统建模及构成自适应控制。
And artificial neural network has its special intelligent controlling function.
并且人工神经网络具有其独特的智能控制功能。
It is verified by a real controlling that a fair control result can be achieved with fuzzy neural network control.
经实际控制证明，模糊神经网络控制可以得到良好的控制效果。
A controlling model of inverter spot-welding process and a fuzzy neural network configuration about inverter spot-welding with constant current control were built in this paper.
推导了逆变点焊过程控制模型，并构建了逆变点焊模糊神经网络恒电流控制系统结构。
Adaptively controlling algorithm based on neural network of multi-step prediction was proposed for the industrial processes.
针对工业过程的特点和控制要求，提出一种基于多步预测的神经网络自适应控制算法。
In this article, the authors introduce a method of controlling certain types of nonlinear dynamical systems whose dynamics can be modelled by a multilayer BP neural network.
从某类可以被多层BP神经网络建模的非线性系统出发，给出一种控制方法。
To solve these problems, a neural network approach for on-line industrial tracking controlling is presented.
针对这种问题，提出了一种神经网络在线工业跟踪控制方法。
Experiment results show that the algorithm can obtain the advantages of the fuzzy system and the neural network can have better performance in controlling the nonlinear and complex system.
仿真实验表明，该算法可实现模糊控制和神经网络的优势互补，对非线性复杂系统具有良好的控制性能。
The inferential process of the fault diagnosis in the neural network is explained with an example of controlling coaling of decomposing furnace expert system.
并以水泥工业的新型干法分解炉喂煤量智能控制系统为例说明了神经网络智能控制的推理过程。
This paper presents a method employing neural network to identify water content and evaporating coefficient, difficult for in process measurement, controlling water added in sinter mixture.
提出了一种利用神经网络对2个难测量的参数进行在线辨识的方法，从而控制烧结混合料的加水量。
Combine the neural network with controlling fuzzy control, the ones that have realized the fuzzy controller are from the self-study and self-adaptation.
将神经网络与模糊控制相结合，实现了模糊控制器的自学习和自适应。
Combine the neural network with controlling fuzzy control, the ones that have realized the fuzzy controller are from the self-study and self-adaptation.
将神经网络与模糊控制相结合，实现了模糊控制器的自学习和自适应。
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