研究了利用MCGS组态软件实现模糊神经网络控制算法的可行性和方法。
The feasibility and the way of realizing the fuzzy neural network control algorithms using configuration software is re-searched.
结合CMAC神经网络控制算法与PID控制算法设计了船舶发电机励磁并行控制系统。
Combined CMAC neural network control algorithm with PID control algorithm, a parallel control system for Marine generator excitation system was designed.
本文利用神经网络PID控制算法，对使用磁流变阻尼器和钢丝绳减振器的舰用智能减振抗冲元件进行了理论和仿真研究。
In this dissertation, theoretical and numerical simulation studies have been conducted about structure vibration control with MR dampers, wire rope isolators and neural network PID control strategy.
本文提出了一种基于改进的神经网络(MNN)的自适应闭环功率控制算法，该方法平滑了移动信道衰落的影响，使基站接收到的小区中所有用户的信号功率相等。
In this paper, a Modified Neural Network (MNN) based power controller is proposed to smoothen out the fast fading and keep the received signal power from each user constant at the base station.
本文采用模糊神经网络算法对AT M网络进行连接接纳控制，仿真结果表明它比传统的算法有更好的效果。
This paper brings the fuzzy neural network algorithms into the call admission control in ATM networks. The simulation result shows that it has better effect than usual algorithms.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
首先对神经网络控制概念和原理与闭环增益成形算法进行简单的介绍。
The conception and theory of the Neural Network control and closed loop gain shaping control algorithm are introduced simply.
在抗干扰特性方面，基于神经网络的PID控制算法有较小的波动，而且调节时间较短；
The arithmetic of PID control based on neural network can obtain small speed overshoot and strong anti-interference feature.
在仿真试验中用动态神经网络所得到的控制算法对模型的输出进行跟踪控制，从仿真结果图可以看出这种控制器能获得较好的控制效果。
Control parameter gotten by dynamic neural network is used to control the model's output in simulation. The result concludes that the controller can get better control result.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
遗传算法、神经网络与模糊控制是当前人工智能中的主要研究领域。
Genetic Algorithms, Neural Network and Fuzzy Control are important research fields in artificial intelligence.
针对一类具有特殊模型的非线性系统本文提出了一种新型神经网络预测控制算法。
A novel neural network predictive control algorithm is proposed for a class of nonlinear system with special model.
提出了一种基于模糊神经网络的积分滑模控制算法。
A fuzzy neural network integral sliding mode control approach was proposed.
当前研究的目标是设计并实现一个基于神经网络广义预测控制的合适算法。
The objective of the current study is to design and implement a proper algorithm based on NN generalized predictive control (GPC).
根据PID控制结构提出了一种新型神经网络控制器，对其基本结构和学习算法等进行了分析。
A new neural network controller is proposed based on the PID controller structure. Its basic structures and learning algorithm are analysed.
采用单神经元PI控制算法与神经网络预测模型相结合的控制策略，用PI控制规律来确定控制器的输出。
The control strategy unites single neuron PI control algorithm and the predictive model based on neural network. The output of the controller is determined by PI algorithm.
研究了将神经网络与模糊逻辑融合交叉而形成的神经网络-模糊智能控制算法的特点和优越性。
In this paper, the characteristics and advantages of neuro fuzzy intelligent control algorithm, which is an intersection of neural networks and fuzzy logic, are studied.
本文用已建立的发动机神经网络怠速模型，并采用DMC预测控制算法，完成了怠速控制的仿真研究。
By using the founded neural network model and DMC predict control algorithm, simulation research has been completed on the idle speed control in this pape.
文中在分析了无毒提金工艺过程特性的基础上，提出了模糊神经网络控制的算法。
Based on analyzing the characteristics of Nontoxic Process for Extraction Gold, a fuzzy-neural network control algorithm is prevailed.
对每个控制模块设计了相应的模糊优化控制算法，并用改进的BP神经网络实现算法的模糊关系。
Fuzzy optimal control arithmetic was designed for each module, and an improved BP neural network was introduced to implement the fuzzy relation.
针对传统的PID控制算法很难获得比较理想的控制效果的问题，提出一种基于BP神经网络的自适应pid控制算法。
Aiming at the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed.
阐述了神经网络学习算法，设计了高速公路可变速度标志神经网络控制器，并对控制器进行了仿真研究。
The neural network algorithm is formulated and the controller is designed. Simulation research is carried out by taking full advantage of a computer.
通过数字复合正交神经网络的连续化算法处理获得了一种模拟复合正交神经网络，并作为前馈控制器。
The analog compound orthogonal neural network was obtained by means of a continuous algorithm treatment for a digital compound orthogonal neural network, and was used as the feedforward controller.
结合神经网络和预测控制的优点，提出了一种神经网络模型预测控制算法。
The paper presents a neural networks predictive control algorithm based on the advantage of neural networks and predictive control.
接着，结合其存在的问题，对动态递归神经网络、R BF神经网络和自适应逆控制进行了算法研究。
Then, aiming at the existing problem, the algorithm of dynamic recurrent neural network, RBF neural network and adaptive inverse control is studied in the paper.
接着，结合其存在的问题，对动态递归神经网络、R BF神经网络和自适应逆控制进行了算法研究。
Then, aiming at the existing problem, the algorithm of dynamic recurrent neural network, RBF neural network and adaptive inverse control is studied in the paper.
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