The study of neural dynamics can be further subdivided into two separate strands.
神经力学研究可更进一步细分为两个不同地带。
Study of neural dynamics with consideration of delays becomes particularly important in manufacturing high quality microelectronic neural networks.
要制造高质量的微电子神经网络，研究带有延时的神经动力行为是特别重要的。
The neural networks and dynamics associated with general reward and social interactions overlap heavily.
神经网络和动力系统（与一般奖励和社会互动相联系）有很多相互交叠的地方。
Then, the neural networks model is applied to identify and process input data, design suitable networks layer for the vehicle longitude dynamics system control.
利用神经网络模式识别能力对输入数据处理辨别，设计合适的控制网络层对汽车纵向动力学系统实施控制；
To resolve the kinematics modeling and dynamics modeling of a humanoid robot with complicated machine, a modeling method based on the conventional mechanism combined with neural network is presented.
为解决机构复杂的拟人机器人运动学和动力学问题，提出了基于传统机理结合神经网络的建模方法。
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。
A multirate composite neural controller is presented in this paper for the trajectory tracking control of a flexible-link robot with a partially known nonlinear dynamics.
提出了一种用于动力学都分已知柔性连杆机器人的多速率神经网络自适应混合控制墨。
In view of the nonlinearity and parameter time-varying uncertainty of vehicle dynamics, a novel algorithm, i. e. single neural adaptive PID control strategy, is propsed for vehicle direction control.
针对汽车方向动力学控制存在的非线性和参数时变不确定性问题，提出了一种新的基于单神经元的汽车方向自适应pid控制算法。
It mainly includes digestive physiological functions and the mutual functions among neural adjustments, gastrointestinal dynamics and gastrointestinal endocrine.
主要内容包括消化生理功能与神经调节、胃肠动力学以及胃肠神经内分泌和免疫之间的相互作用。
Neural Network is a non linear dynamics kinetics system, which can do a lot of complex jobs, especially in information science.
神经网络是一个非线性动力学系统，在许多方面都表现出强大的生命力，特别为信息科学界所瞩目。
RBF neural network is proposed to approximate unknown nonlinear function. Sliding mode error is used to adaptively tune its weights online. Dynamics performance is improved.
采用RBF神经网络逼近系统未知的非线性函数，引入滑模误差对其权值进行在线自适应调整，改善动态性能。
This paper analyzed the kinematics and dynamics of the 6 DOF platform, and adopted CMAC Neural Networks as controller to realize tailing track.
以六自由度运动平台为研究对象，分析了平台的运动学和动力学问题，采用了CMAC神经网络作为控制器，实现运动轨迹的跟踪。
Objective To research the influence of Qiangxin Tongmai capsule on blood dynamics, neural endocine hornmone and the expression of AQP2 mRNA in kidney of rat models with congestive heart failure (CHF).
目的探讨强心通脉胶囊对充血性心力衰竭（CHF）大鼠模型血流动力学、神经内分泌及肾脏水通道蛋白-2（AQP2）基因表达的影响。
The generated path of mobile robot is realized by the dynamics neural activity landscape consisting of networks.
机器人的路径生成过程是由神经网络组成动态变化的冲经元活性值状态路线图实现的。
In this article, the authors introduce a method of controlling certain types of nonlinear dynamical systems whose dynamics can be modelled by a multilayer BP neural network.
从某类可以被多层BP神经网络建模的非线性系统出发，给出一种控制方法。
Training neural networks by using the linear multi-step method is studied, which is a classical numerical method for differential dynamics.
研究用微分方程数值解法——线性多步法替代神经网络的学习算法。
The technology of multi-electrode arrays can stimulate and record many neurons' activities simultaneously. This technology can be used to study the function and dynamics of neural networks.
使用多电极阵列，可以进行实时、连续、无损的细胞外信号记录，多个通道的同时记录与分类技术的结合可用于神经元网络的功能及其动力学研究。
When neural network with fast parallel computing and complex behavior of chaotic dynamics, it is one of the best choice for designing encryption algorithm.
人工神经网络具有实现快速并行运算又有混沌动力学复杂行为时，它将是用来设计一种加密算法的最佳选择。
Dynamics of Neural Networks: From Biophysics to Behavior, Institute for Theoretical physics, UCSB 23 July - 22 December 2001.
神经网路动力学：从生物物理学到行为，理论物理学会，UCSB (UC Santa Barbara) 2001七月23—十二月22。
Dynamics of Neural Networks: From Biophysics to Behavior, Institute for Theoretical physics, UCSB 23 July - 22 December 2001.
神经网路动力学：从生物物理学到行为，理论物理学会，UCSB (UC Santa Barbara) 2001七月23—十二月22。
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