This paper applied BP neural network control to the Static Phase Generator, and achieved good results.
本文将BP神经网络控制应用到静止式进相器中，取得良好的效果。
Fuzzy optimal control arithmetic was designed for each module, and an improved BP neural network was introduced to implement the fuzzy relation.
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。
So this article adopt PID control tuned by BP neural net.
因此，本文采用BP神经网络整定的PID控制。
The powerful nonlinear mapping function of BP neural network can settle the nonlinear problem of torque Angle control.
BP神经网络具有强大的非线性映射能力，可以解决转矩角控制中的非线性问题。
The reinforcement learning is adopted to control and decision for AUV, and Q-learning, BP neural net, artificial potential is integrated to avoidance planning for AUV.
主要采用强化学习的方法对AUV进行控制和决策，综合Q学习算法、BP神经网络和人工势场法对AUV进行避碰规划。
Finally, the construction control of cable-stayed bridge based on BP neural networks is discussed and analyzed.
最后，本文对基于BP神经网络的斜拉桥施工控制进行了探讨。
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。
In the paper, fuzzy neural network method is used to control the size accuracy in grinding process and fuzzy inference BP-network model is produced.
采用模糊神经网络方法进行磨削加工尺寸精度的控制，给出了模糊推理BP网络模型。
This paper presents a neural network control system based on CMAC, which consists of a CMAC neural network controller and a BP network model identifier.
提出了一种基于CMAC神经网络控制系统，该系统由CMAC神经网络控制器和BP模型辨识网络组成。
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。
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。
The results showed that control performance of Double-Weighted neural network controller is well than BP neural network controller.
结果表明，与BP网络相比，双权值神经网络能对系统进行更好的控制。
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。
BP neural network control model based on the washing machine has been builded in this paper. A new off-line learning method of BP network has been suggested and realized on chip microcomputer.
论文以工业洗衣机为控制对象，建立了BP神经网络智能控制模型，提出了BP网络的一种离线式学习方法，并在微机中实现。
The temperature control of dew point humidifier in a fuel cell testing system is studied. A kind of separate integral PID control algorithm based on BP neural network is put forward.
对燃料电池测试系统中露点加湿器的温度控制进行研究，提出了一种用BP神经网络进行参数整定、积分分离的PID控制算法。
The PID controller based on BP neural networks is designed to realize control parameter self-learning and self-adjusting.
设计了基于BP神经网络的PID控制器，实现PID控制器参数自学习、自整定。
This paper presents a new kind of intelligence PID control method on BP neural network and some of basic concepts about BP neural network.
本文提出一种基于BP神经网络的新型智能PID控制方法和一些BP神经网络的基本概念。
The method of intelligent control based on neural network is applied in electrode current of arc furnace. The electrode current is analyzed and simulated by the BP and RBF models of neural network.
讨论了基于神经网络对电弧炉电极进行智能控制的方法，运用神经网络的BP、RBF以及双隐层BP模型，分别对电弧炉电极的单相电流及三相电流进行了分析和仿真。
Secondly, pattern recognition for control chart is researched based on the BP neural network.
其次，基于BP神经网络，对控制图的模式识别问题进行了研究。
Engine idling control methods are discussed. Control methods applying fuzzy control and BP neural network control are studied deeply.
讨论了发动机怠速控制方法，对用模糊控制、BP神经网络控制方法进行了深入研究。
Aiming at there is long delay of TCP data such as control command etc in remote experiment network, a video transmission control method is presented based on Back Propagation (BP) neural network.
在远程实验网络中，控制命令等TCP数据会出现较大延迟。为此，提出一种基于BP神经网络的视频传输控制方法。
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。
Thus, the RBF neural network for the malfunction diagnosis of the electronic control engine is more feasible and successful than BP neural network.
因此，将R BF神经网络应用于故障诊断比BP神经网络更有效、可行。
The BP neural network PID control method is applied to temperature control system in industry field. The simulation results show that the control method has high control accuracy,...
把BP神经网络的PID控制方法应用到工业领域的温度控制系统中，仿真结果表明：这种控制方法具有较高控制精度和较强的适应性以及良好的控制效果。
BP neural networks with pattern extended input are used to estimate control parameters, and the learning speed is increased.
并采用具有模式增强输入的BP网络进行决策参数估计，加快学习的收敛。
An algorithm of nonlinear predictive control method based on BP neural networks is proposed.
提出一种基于BP网络的非线性预测控制算法。
So we have attempted to apply the BP Neural Network Technology to improve further the automatic-control ability of the continuous extrusion process of copper.
因此尝试采用BP神经网络控制技术来进一步提高铜连续挤压生产的自动控制水平。
So we have attempted to apply the BP Neural Network Technology to improve further the automatic-control ability of the continuous extrusion process of copper.
因此尝试采用BP神经网络控制技术来进一步提高铜连续挤压生产的自动控制水平。
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