These discoveries demonstrate the complexity of the neural control of sleep.
这些发现证明睡眠神经控制的复杂性。
The analog neural controller can be applied in the control systems of robots.
该模拟神经控制器能应用于机器人控制系统中。
PID control, neural control and fuzzy control, but all of them have different limitations.
通常水下机器人的控制方式有PID控制器，神经网络控制器和模糊逻辑控制器三种。
This is the website for the Neural Control of Locomotion Research Group, University of St Andrews.
这是圣安德鲁斯大学运动神经控制研究组的网站。
Neural control is a new type of control system in the dynamic simulation, modeling and control applications.
神经控制是一种新型的控制系统，其在动态模拟、建模和控制方面应用广泛。
In this paper, a novel fuzzy neural control approach based on the nonstandard partition of fuzzy space is proposed.
提出一种基于模糊空间非标准划分的模糊神经控制方法。
The strategy made full use of the nonlinear approximation of fuzzy logic and the self-adaptability of neural control.
该控制策略充分利用了模糊逻辑对非线性的逼近性和神经控制自适应的特点。
Courses of study include mammalian physiology and pharmacology, drug metabolism, neural control, oncology, and other topics.
学习课程包括哺乳动物生理学，制药学，药品的新陈代谢，神经控制，肿瘤学和其他学科。
The results show that forward dynamics theory can model the limb movements, muscular forces and neural control signals to simulate the control of a natural gait.
计算结果与实验测量的比较表明：正向动力学方法可将肢体运动状态、肌肉收缩力、神经控制信号等联系起来，求解人体步态的控制模式。
The count propagation network (CPN) was taken as framework, combining an improved fuzzy control algorithm, to realize the fuzzy-neural control of fermentation process.
采用自组织计数传播网络（CPN）作为框架，结合改进的模糊控制算法，实现对发酵过程的模糊神经元控制。
As the basic unit of Neural Network, Neural Controllers with different learning rules will result in different control effects for the learning process of synaptic weights.
作为神经网络控制的基本单元，采用不同学习规则的神经元控制器，对神经元的学习过程将产生不同的影响。
Though the technique has been used to control and explore neural circuits in fish, flies and rodents, this is the first time the much-hyped technology has ever been used in primates.
尽管这一技术也曾用在控制和探索鱼、苍蝇以及啮齿类动物的脑中，但这次却是将这项被大肆炒作的技术第一次用于灵长类动物。
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。
Fuzzy neural network is an important research problem in the domain of intelligent control.
在智能控制领域中，模糊神经网络是一项重要的研究课题。
The song control system of birds has become an important model for studying neural system related to learning, behavior, and development.
鸣禽的鸣唱控制系统已成为研究神经系统与学习、行为和发育相关的一个重要模型。
This paper presents an AC servo system based on fuzzy neural variable structure control.
本文提出了一种基于模糊神经变结构控制的交流伺服系统。
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.
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。
And they have identified many of the molecular pathways that control neural stem cell behavior in embryonic mice.
而且他们已经识别了许多控制小鼠胚胎神经细胞行为的分子旁路。
Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control.
其主要特点是能够提供一个跟踪网络来辩识系统模型，进而确定控制器的网络参数，实现间接自适应神经网络控制。
The control system can adjust the weights of hybrid neural network and the parameters of controller timely to keep good control performance when the character of controlled plant varies.
当被控对象的特性发生变化时，可对混合神经网络权值及时进行修正并调整控制器参数使控制系统始终保持良好的控制性能。
This paper proposes a state feedback control strategy with a neural network compensator, which is applied in a hydraulic position servo system.
提出一种具有神经网络补偿的状态反馈控制方法并用于液压伺服位置控制系统。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
According to the research of the recurrent neural network control method application to aeroengines, the system based on recurrent network is built.
根据反馈神经网络控制方法在发动机控制系统中的应用研究，建立了基于反馈网络的发动机控制系统。
Furthermore, when he severed the nerve connecting the gut and brain in a control group of mice, these neural changes disappeared.
此外，当他切断实验对照组小鼠的大脑和肠道的神经联系时，这些神经变化就消失了。
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.
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。
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。
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。
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