The theory of artificial Neural Network and its application in space robot control are studied in this thesis.
本论文对人工神经网络理论及其在空间机器人系统控制中的应用作了研究。
This paper presents an artificial neural network(ANN) approach to determine the time delay for a heating, ventilating, and air -conditioning(HVAC)plant to respond to control actions.
本文提出一种人工神经网络（ANN）方法，确定暖通空调（HVAC）系统对控制信号响应的时间迟延，在研究中选用了四层网络。
Herein, the idea, which is based on artificial neural network for the control strategy of face auto-location, is proposed.
鉴于此，同样是在结合人脸相关信息的基础上，作者提出了一种新的基于人工神经网络的目标定位图像中心的控制策略。
This paper surveys the application of classical optimization theory, artificial intelligent and neural network to FMS's control.
本文详细分析和研究了传统的优化理论、人工智能和神经网络在FMS优化控制中应用的适应性及各自的特点。
An artificial neural network method for control of shunt active power filters is presented and analyzed.
提出并分析了一种适用于控制并联有源电力滤波器的人工神经网络方法。
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。
Inverse system method for nonlinear control based on neural networks was employed to solve the nonlinearity of the pneumatic artificial muscles.
运用非线性控制的逆系统方法，提出了一种基于神经网络的人工肌非线性控制方案。
An artificial neural network theory for the control of wind power systems is proposed.
提出一种用于风力发电控制系统的人工神经网络。
Based on theory model, the authors set up the control model of converter steelmaking, adopting artificial neural network model.
以理论模型为基础，建立了转炉炼钢控制模型，并将人工神经网络模型应用到转炉控制中。
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。
Genetic Algorithms, Neural Network and Fuzzy Control are important research fields in artificial intelligence.
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。
In the end, adaptive force control of artificial neural network is approached.
本文最后对人工神经网络自适应力控制技术进行了探讨。
The study of nonlinear predictive control based on artificial neural networks is carried out.
研究了基于人工神经元网络模型的非线性预测控制。
This paper presents an architecture of adaptive PID control using artificial neural networks.
本文提出了一种采用人工神经网络的自适应PID控制结构。
A simple artificial intelligence system for fault diagnosis established in this paper. The system consists of knowledge base, fuzzy reasoning module, neural network module and control module.
设计了一个简单的人工智能故障诊断系统模型，它包括知识库、模糊推理、神经网络和控制模块等。
This algorithms has been widely used in machine learning, artificial intelligence, adaptive control, artificial neural network training, Image processing, among other areas.
目前这类算法已被广泛应用于机器学习，人工智能，自适应控制，人工神经网络训练，图像处理等各个方面。
A discussion is devoted to the intelligence control method combining expert system with artificial neural networks. This method had been applied to the design of helicopter flight control system.
讨论了专家系统与人工神经网络相结合的一种控制方法，并将这种方法成功地用于直升机飞行控制系统设计。
The control strategy is based on nine-zone diagram and combined with artificial neural network, which makes a decision about the change of transformer taps and capacitor switching.
该系统控制策略以九区图为基础，并且在容易引起频繁动作的边界上采用人工神经网络预测变压器分接头调节和电容器投切后的电压无功，以决定采用何种控制方式。
By Using an artificial neural network, the pole assignment problem of state feedback, output feedback and dynamic output feedback compensators in linear control system are discussed.
利用人工神经网络，讨论了线性定常控制系统关于状态反馈、输出反馈及动态补偿器的极点配置问题。
Based on the analysis of pilot behavior character a nd control mode, the predictive control ANN (artificial neural network) model is established according to the theory of prediction-following.
在分析驾驶员行为特性和行为操纵的基础上，根据预测跟随理论，建立了驾驶员预测控制神经网络（ANN）模型；
The artificial neural networks is introduced to solve the problem that precision of conventional control is weak in the papermaking industry.
针对造纸工业传统控制中存在精确度低的问题，提出了利用人工神经网络进行预测控制的方法。
Aiming at the low control accuracy of 6-dof parallel platform, a dynamical fuzzy neural network (DFNN) was proposed to control the parallel platform which had advantages of artificial neural networks.
针对六自由度并联平台运动控制精度不高的缺点，结合人工神经网络的优点，提出了一种动态模糊神经网络(DFNN)控制器来控制并联平台。
It is introduced the second part in the intelligent control for speed control of AC motor, the artificial neural network control technology.
介绍在交流电机调速中应用智能控制的第二部分——人工神经网络控制技术。
Based on the new ANN (artificial neural network) inverse system control method, the AC variable frequency speed control system is analyzed and experimented.
本文运用神经网络逆系统这一新的控制策略，对异步电机变频调速系统进行可逆分析与控制试验。
The advantages of this adaptive fuzzy control method compared to other nonlinear control method (artificial neural network control) are analyzed.
分析了该方法与其它非线性控制方法(神经网络控制)相比所具有的优点。
It shows that artificial neural networks shift control system can realize correct gear box control according to operation work situation and it is an effective...
表明人工神经网络档位控制系统可根据操作工况实现正确的变速箱档位控制，使自动变速系统具有了智能化特征，是一种有效的档位控制方法。
This paper presents an artificial neural network model to predict the rolling force to control hot-rolled strip strip thickness.
研究了热轧板带厚度控制中轧制力预报环节的局部逼近神经网络实现方法。
Artificial Neural Network controller is proposed in this paper to design the new power flow control for SSSC.
提出了一种应用神经网络控制策略为静止同步串联补偿器(SSSC)设计的新型潮流控制器。
A modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.
提出了将一种改进的人工神经网络联想记忆模型应用于计算机数控机床的故障诊断方法。
A modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.
提出了将一种改进的人工神经网络联想记忆模型应用于计算机数控机床的故障诊断方法。
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