Based on analyzing the characteristics of Nontoxic Process for Extraction Gold, a fuzzy-neural network control algorithm is prevailed.
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。
Combined CMAC neural network control algorithm with PID control algorithm, a parallel control system for Marine generator excitation system was designed.
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。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
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。
Such fuzzy neural network controller is applied to the control of nickel hydrogen battery charging, have proved the validity of the algorithm.
将这种模糊神经网络控制器应用于镍氢电池的充电控制中，证明了算法的有效性。
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.
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。
But the robust performance is improved obviously when the closed loop gain shaping control algorithm is introduced into the ship motion system on the basis of neural network control in the thesis.
本文在神经网络直接控制船舶运动控制基础上，引入闭环增益成形算法构成闭环控制，以提高系统对环境干扰和过程参数摄动的鲁棒性。
The fuzzy logic and artificial neural network technologies are introduced into the algorithm for airbag deployment control, with a view to the appropriate and correct deployment of the airbag.
为解决汽车安全气囊适时、正确触发问题，将模糊逻辑与人工神经网络技术引入汽车安全气囊触发控制算法研究。
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.
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。
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.
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。
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。
In the active noise control system we apply neural network control method and derive neural network BP algorithm.
在噪声主动控制系统中采用神经网络控制方法，给出了神经网络BP算法的一种变异算法。
Analyzing the integral splitting PID algorithm, and melting the wide-used PID controller and the automatic learning neural network, got a PID control algorithm based on the BP network.
分析了积分分离pid控制算法，在此基础上，将应用最广泛的PID控制器与具有自学习功能的神经网络相结合，得到了基于BP神经网络的PID控制算法。
The GA-BP learning algorithm of neural network, the GA learning algorithm, the rule of optimum control including their features were introduced.
给出了作为模型预估器的神经网络GA—BP算法流程及GA 算法实现， 提出了最优控制指标选择原则及控制指标表达式。
A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero-engine rotating speed control system.
提出了一种带模糊补偿的神经网络辨识器，并应用在某型涡扇发动机转速控制系统中。
This thesis researched the models and the learning algorithm of neural network, raised a main steam control system of power station based on neural network.
本文有针对性地对人工神经网络的各种网络模型及学习算法进行了研究，提出一了种基于人工神经网络的电厂主汽温控制系统。
An improved Backward Error Propagation Algorithm used as neural network controllers to control a nonlinear system is presented in this paper.
对非线性系统神经网络控制器提出了一种改进的误差反向传播算法。
For the control of nonlinear system, a neural network predictive control strategy based on Golden Section Algorithm is presented.
针对非线性系统的控制问题，提出了一种采用黄金分割法的神经网络预测控制算法。
Two improved algorithm were proposed: neural network generalized predictive control based on LM optimizer and multi parallel network generalized predictive control based on jump predictive.
本文提出了两种改进算法：基于LM优化的神经网络广义预测控制和基于跳步预测的多网络并行广义预测控制。
On the base of a great deal of reference literatures, intelligent PID control algorithm of ship roll motion based on dyadic wavelet neural network has been proposed.
在研究大量参考文献的基础上，本文提出了船舶横摇运动基于二进小波神经网络整定的智能PID控制算法。
The Compensated Fuzzy-Neural network algorithm and the rules of the fuzzy control are applied to the system.
该系统控制采用了补偿模糊神经网络算法和逐级模糊控制规则。
According to the nonlinear, uncertain and large scale characteristics of urban road network system, a novel distributed and cooperative control algorithm based on fuzzy neural network is designed.
针对城市路网交通系统规模大和非线性、不确定性强等特点，利用模糊神经网络设计了一种新的实时分散协调控制算法。
The algorithm guarantees the network system robustness during the whole control process and USES RBF neural network as adaptive law to eliminate the effect from the disturbance of UDP flow.
该算法保证网络系统在整个控制过程中的鲁棒性，并且使用RBF神经网络作为自适应律来消除UD P流干扰对系统的影响。
A novel neural network predictive control algorithm is proposed for a class of nonlinear system with special model.
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.
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。
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